Journal articles: 'Automotive mechatronics and autonomous systems'

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Mao, Yan Fen, Hans Wiedmann, and Ming Chen. "Autonomous Mobile Robots and Development of Vision Based Automotive Assistance Systems." Applied Mechanics and Materials 121-126 (October 2011): 2416–20. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2416.

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The paper describes an autonomous mobile robot named Robotino®, and how it is used for education of Bachelor-students in the majors AES (Automotive Engineering & Service) as well as in MT (Mechatronics) in CDHAW, Tongji University. A fine positioning project using image processing is introduced, and vision-based functions from Robotino®View are presented. It is sketched out how this system also can be used as a research platform for automotive assistance systems.

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Naz, Neelma, Muhammad Khurram Ehsan, Muhammad Rizwan Amirzada, Md Yeakub Ali, and Muhammad Aasim Qureshi. "Intelligence of Autonomous Vehicles: A Concise Revisit." Journal of Sensors 2022 (April 23, 2022): 1–11. http://dx.doi.org/10.1155/2022/2690164.

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Artificial intelligence- (AI-) empowered machines are devised to mimic human actions. In the automotive industry, AI plays a significant role in the development of vehicular technology. AI joins hands with the field of mechatronics to assist in the accurate execution of the vehicle functionalities. Autonomous vehicles get the scene information by using onboard sensors such as laser, radar, lidar, Global Positioning System (GPS), and vehicular communication networks. The data obtained is then used for various path planning and control techniques to make the vehicles capable of autonomously driving in complex environments. Autonomous vehicles use very up-to-date AI algorithms to localize themselves in known and unknown environments. AI algorithms are also exploited for perception, path planning, and motion control. A concise review of the state-of-the-art techniques to improve the performance of autonomous vehicles is presented.

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Gumiel, Jose Ángel, Jon Mabe, Jaime Jiménez, and Jon Barruetabeña. "Introducing the Electronic Knowledge Framework into the Traditional Automotive Suppliers’ Industry: From Mechanical Engineering to Mechatronics." Businesses 2, no. 2 (June 7, 2022): 273–89. http://dx.doi.org/10.3390/businesses2020018.

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The automotive sector is undergoing radical changes. New trends such as electrification, autonomous driving, connectivity, and car-sharing—to name a few—are disturbing the carmakers, which must satisfy their clients while meeting the increasingly strict environmental regulations. This pressure also falls on automotive parts suppliers, which now are asked to manufacture high-added-value integral systems, while struggling to keep a very adjusted price. As traditional automotive components evolve into electronic systems, suppliers must gain digital mastery to remain competitive. This paper presents different ways of introducing e-skills in a company and illustrates this with some examples from the Basque automotive industry. The aim is to encourage corporations to take the step towards digitalization, providing different options for them to choose the one that best suits their current scenario. For this study we have analyzed the literature and the press releases of the component manufacturers and interviewed staff from some of them. This research seeks to provide solutions so that the automotive sector remains competitive, as it is a strategic sector for the economy and employment.

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Kučera, Pavel, and Václav Píštěk. "Testing of the mechatronic robotic system of the differential lock control on a truck." International Journal of Advanced Robotic Systems 14, no. 5 (September 1, 2017): 172988141773689. http://dx.doi.org/10.1177/1729881417736897.

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This article deals with testing the algorithm developed for autonomous control lock of the differential in a truck. Hardware for hardware in the loop testing of robotic systems or automotive systems is used and the proposed control algorithm was implemented into it. The system was applied to a vehicle with 8 × 8 drive and control algorithm evaluates input sensor values to set robotic console control. It is an actuator which consists of electrovalve, pneumatic cylinder, console, special dog clutch and feedback limit switch. This robotic console is used to lock the truck differentials. Verification of the correct algorithm operation was performed by manoeuvres and the response of the whole system was monitored. The aim was to get the reaction times of this mechatronic robotic system and evaluate them.

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Fourounjiev, Reshat, and Yuli Slabko. "Mechatronic system for intellectual control of the interaction between road and wheels of the autonomous ground vehicles." International Journal of Vehicle Autonomous Systems 9, no. 3/4 (2011): 253. http://dx.doi.org/10.1504/ijvas.2011.041388.

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James, Peter. "Mechatronics and Automotive Systems Design." International Journal of Electrical Engineering & Education 41, no. 4 (October 2004): 307–12. http://dx.doi.org/10.7227/ijeee.41.4.4.

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Stania, Marek. "Mechatronics Systems of Autonomous Transport Vehicle." Solid State Phenomena 198 (March 2013): 96–101. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.96.

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The purpose of this paper is to present the development and realization of the elaborate mechatronic systems, having its main application in the logistic industry. The innovative, patented steering system is its unique feature. The steerage is based on the torque difference between the drive wheels. This solution allows for the unlimited maneuverability during the motion of the vehicle.

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Schöner, Hans-Peter. "Automotive mechatronics." Control Engineering Practice 12, no. 11 (November 2004): 1343–51. http://dx.doi.org/10.1016/j.conengprac.2003.10.004.

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Wagner, J., I. Paradis, E. Marotta, and D. Dawson. "Enhanced automotive engine cooling systems - a mechatronics approach." International Journal of Vehicle Design 28, no. 1/2/3 (2002): 214. http://dx.doi.org/10.1504/ijvd.2002.001987.

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Kaneda, Tadahiro, Yasumasa Yoshitani, Toshitaka Umemoto, Atsuo Yabu, Tomoharu Doi, and Masatoshi Semi. "Development of Educational Materials for Construction of Mechatronic Systems and Their Application." Journal of Robotics and Mechatronics 23, no. 5 (October 20, 2011): 638–44. http://dx.doi.org/10.20965/jrm.2011.p0638.

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We have developed educational materials on mechatronics with microcomputers embedded as a core as often found in autonomous robots. The developed educational materials are expected to obviate needs for other educational materials to learn a wide range of mechatronics from autonomous robots to factory automation systems as well as learn step by step from visually comprehensible tiling programming to C-language programming. We have used the developed educational materials at the workshops we have conducted as a part of the three-year humanresource development project for small and medium enterprises. In addition, we have compiled into textbooks know-how we have acquired at the workshops and have applied it to the experimental practices of the College.

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Dragomir, Mincă, Dragomir, and Filipescu. "Modelling and Control of Mechatronics Lines Served by Complex Autonomous Systems." Sensors 19, no. 15 (July 24, 2019): 3266. http://dx.doi.org/10.3390/s19153266.

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The aim of this paper is to reverse an assembly line, to be able to perform disassembly, using two complex autonomous systems (CASs). The disassembly is functioning only in case of quality default identified in the final product. The CASs are wheeled mobile robots (WMRs) equipped with robotic manipulators (RMs), working in parallel or collaboratively. The reversible assembly/disassembly mechatronics line (A/DML) assisted by CASs has a specific typology and is modelled by specialized hybrid instruments belonging to the Petri nets class, precisely synchronized hybrid Petri nets (SHPN). The need of this type of models is justified by the necessity of collaboration between the A/DML and CASs, both having characteristics and physical constraints that should be considered and to make all systems compatible. Firstly, the paper proposes the planning and scheduling of tasks necessary in modelling stage as well as in real time control. Secondly, two different approaches are proposed, related to CASs collaboration: a parallel approach with two CASs have simultaneous actions: one is equipped with robotic manipulator, used for manipulation, and the other is used for transporting. This approach is correlated with industrial A/D manufacturing lines where have to transport and handle weights in a wide range of variation. The other is a collaborative approach, A/DML is served by two CASs used for manipulation and transporting, both having simultaneous movements, following their own trajectories. One will assist the disassembly in even, while the other in odd workstations. The added value of this second approach consists in the optimization of a complete disassembly cycle. Thirdly, it is proposed in the paper the real time control of mechatronics line served by CASs working in parallel, based on the SHPN model. The novelty of the control procedure consists in the use of the synchronization signals, in absence of the visual servoing systems, for a precise positioning of the CASs serving the reversible mechatronics line.

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Yu, Ying, Yan Fen Mao, Hans Wiedmann, and Yu Wang. "Flying Referencing System for an Autonomous Mobile Robot." Advanced Materials Research 338 (September 2011): 731–36. http://dx.doi.org/10.4028/www.scientific.net/amr.338.731.

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In CDHAW of Tongji University an autonomous mobile robot system, is actually used for education of Bachelor students in the majors AES (Automotive Engineering & Service) as well as in MT (Mechatronics) and for development and research on different topics of both majors. One such research project is introduced in this paper. It aims to improve the inaccuracy of the robots built-in navigation system based upon odometry by development of a flying referencing system. It is described how the well known raster navigation is extended from a single point raster to a grid of lines which improves navigation correctness much better as by using the single points of the conventional raster navigation method.

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Nnodim, Chiebuka T., Micheal O. Arowolo, Blessing D. Agboola, Roseline O. Ogundokun, and Moses K. Abiodun. "Future trends in mechatronics." IAES International Journal of Robotics and Automation (IJRA) 10, no. 1 (March 1, 2021): 24. http://dx.doi.org/10.11591/ijra.v10i1.pp24-31.

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<p>Presently, the move towards a more complex and multidisciplinary system development is increasingly important in order to understand and strengthen engineering approaches for the systems in the engineering field. This will lead to the effective and successful management of these systems. The scientific developments in computer engineering, simulation and modeling, electromechanical motion tools, power electronics, computers and informatics, micro-electro-mechanical systems (MEMS), microprocessors, and distributed system platforms (DSPs) have brought new challenges to industry and academia. Important aspects of designing advanced mechatronic products include modeling, simulation, analysis, virtual prototyping, and visualization. Competition on a global market includes the adaptation of new technology to produce better, cheaper, and smarter, scalable, multifunctional goods. Since the application area for developing such systems is very broad, including, for example, automotive, aeronautics, robotics or consumer products, and much more, there is also the need for flexible and adaptable methods to develop such systems. These dynamic interdisciplinary systems are called mechatronic systems, which refer to a system that possess synergistic integration of Software, electronic, and mechanical systems. To approach the complexity inherent in the aspects of the discipline, different methods and techniques of development and integration are coming from the disciplines involved. This paper will provide a brief review of the history, current developments and the future trends of mechatronics in general view.</p>

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Schwarz, Franziska, Klaus Schwarz, and Reiner Creutzburg. "Autonomous self-driving vehicles - Design of professional laboratory exercises in the field of automotive mechatronics." Electronic Imaging 34, no. 3 (January 16, 2022): 371–1. http://dx.doi.org/10.2352/ei.2022.34.3.mobmu-371.

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Serebrennyj, V. V., A. A. Boshlyakov, and A. S. Yuschenko. "To the Anniversary of the Department of "Robotic Systems and Mechatronics" of the Bauman Moscow State Technical University." Mekhatronika, Avtomatizatsiya, Upravlenie 22, no. 11 (November 9, 2021): 563–66. http://dx.doi.org/10.17587/mau.22.563-566.

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This year we celebrate the 70-th year of the chair founded in BMSTU in 1951 which name today is "Robotic Systems and Mechatronics". Evolution of the chair during the last 70 years is completely reflected the technical progress in the field of automation. From automatic drives to autonomous robots. Again with the improvement of the educational programs in accordance with the vital demands the chair managed to keep the basic traditions of the Russian engineering school based on the combination of the fundamental scientific background with the practical competence in the new technical systems design. The prominent scientists and engineers made a major contribution to the content and methods of training of future specialists in robotics and mechatronics which are acknowledged both in Russia and abroad. Nowadays robotics is transforming from perspective direction to urgent needs. The chair "Robotic Systems and Mechatronics" is completely ready to reply the new challenge of time.

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Ozguner, Umit, Weichao Sun, Sergio Savaresi, Hong Chen, and Taehyun Shim. "Guest Editorial Introduction to the Focused Section on Mechatronics in Automotive Systems." IEEE/ASME Transactions on Mechatronics 20, no. 4 (August 2015): 1497–98. http://dx.doi.org/10.1109/tmech.2015.2452944.

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Sylvester Tlale, Nkgatho. "On distributed mechatronics controller for omni‐directional autonomous guided vehicles." Industrial Robot: An International Journal 33, no. 4 (July 2006): 278–84. http://dx.doi.org/10.1108/01439910610667890.

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Quang Dinh, Truong, Adolfo Senatore, Stewart Birrell, Petros A. Ioannou, James Marco, and Makoto Iwasaki. "Editorial Mechatronics as an Enabler for Intelligent Transportation Systems." IEEE Transactions on Intelligent Transportation Systems 22, no. 9 (September 2021): 5817–18. http://dx.doi.org/10.1109/tits.2021.3099138.

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Asama, Hajime. "Special Issue on Distributed Robotic Systems." Journal of Robotics and Mechatronics 8, no. 5 (October 20, 1996): 395. http://dx.doi.org/10.20965/jrm.1996.p0395.

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Distributed Robotic Systems are focused on as a new strategy to realize flexible, robust and fault-tolerant robotic systems. In conferences and symposia held recently, the number of papers related to the Distributed Robotic Systems has increased rapidly1,2,3) which shows this area has become one of the most interesting subjects in robotics. The Distributed Robotic Systems require a broad area of interdisciplinary technologies related not only to robotics and computer engineering (especially distributed artificial intelligence and artificial life), but also to biology and psychology. Distributed Robotic Systems can be defined as robot systems which are composed of various types and levels of units, such as cells, modules, agents and robots. One category of papers included in this volume is a robot with a distributed architecture, where modular structure is adopted and/or the robot system is controlled by many CPUs in a distributed manner. Cellular robotic systems are included in this category4). Another category of the papers is cooperative motion control of multiple robots. Coordinated control of multiple manipulators and cooperative motion control by multiple mobile robots using communication are discussed in these papers. The new elemental technologies are also presented, which are required for realization of advanced cooperative motion control of multiple autonomous mobile robots in this volume. The last category of the papers is self-organization of distributed robotic systems. Though the Journal of Robotics and MecharQnics has already published the special issues on the self-organization system,5,6) the latest progress is also presented in this volume. The papers belonging to this category are directed to swarm/collective intelligence in multi-robot cooperation issues. I believe this special issue will inspire the reader's interests in the Distributed Robotic Systems and accelerate the growth of this new arising interdisciplinary research area. References: 1)H.Asama, T.Fukuda, T.Arai and I.Endo eds., Distributed Autonomous Robotic Systems, Springer-Verlag, Tokyo, (1994). 2) H.Asama, T.Fukuda, T.Arai and I.Endo eds.,Distributed Autonomous Robotic Systems 2 , Springer-Verlag, Tokyo, (1996). 3) Robotics Society of Japan, Advanced Robotics 10,6, (1996). 4) T.Fukuda and T.Ueyama, Cellullar Robotics and Micro Robotic Systems,World Scientific, Singapore, (1994). 5) Fuji Technology Press Ltd., Journal of Robotics and Mechatronics,4,2,(1992). 6) Fuji Technology Press Ltd., Journal of Robotics and Mechatronics,4,3,(1992).

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Filipescu, Adrian, Eugenia Mincă, Adriana Filipescu, and Henri-George Coandă. "Manufacturing Technology on a Mechatronics Line Assisted by Autonomous Robotic Systems, Robotic Manipulators and Visual Servoing Systems." Actuators 9, no. 4 (December 3, 2020): 127. http://dx.doi.org/10.3390/act9040127.

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This paper proposes the implementation of an assisting technology to a processing/reprocessing mechatronics line (P/RML), comprising the following: two autonomous robotic systems (ARSs), two robotic manipulators (RMs) and three visual servoing systems (VSSs). The P/RML has four line-shaped workstations assisted by two ARSs—wheeled mobile robots (WMRs): one of them equipped with an RM, used for manipulation, and the other one used for transport. Two types of VSSs—eye to hand and eye in hand—are used as actuators for precise positioning of RMs to catch and release the work-piece. The work-piece visits stations successively as it is moved along the line for processing. If the processed piece does not pass the quality test, it is taken from the last stations of the P/RML and it is transported to the first station where it will be considered for reprocessing. The P/RML, assisted by ARSs, RMs and VSSs, was modelled with the synchronized hybrid Petri nets (SHPN). To control the ARSs, we propose the use of trajectory-tracking and sliding-mode control (TTSMC). The precise positioning that allows the picking up and releasing of the work-piece was performed using two types of VSSs. In the case of the first one, termed eye to hand VSS, the cameras have a fixed position, located at the last and the first workstations of the P/RML. For the second one, named eye in hand VSS, the camera is located at the end effector of the RM.

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Visconti, Paolo, Nicola Ivan Giannoccaro, and Roberto de Fazio. "Special Issue on Electronic Systems and Energy Harvesting Methods for Automation, Mechatronics and Automotive." Energies 14, no. 23 (December 1, 2021): 8050. http://dx.doi.org/10.3390/en14238050.

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Electronic apparatus have become essential components of civil and industrial systems, including the automotive, home and building automation, Industrial IoT (Internet of Things) and control applications, and playing an essential role in improving security, efficiency, manageability, and rapid feedback [...]

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Dai, Zhuoqun, Alexander Wolf, Peer-Phillip Ley, Tobias Glück, Max Caspar Sundermeier, and Roland Lachmayer. "Requirements for Automotive LiDAR Systems." Sensors 22, no. 19 (October 4, 2022): 7532. http://dx.doi.org/10.3390/s22197532.

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Light detection and ranging (LiDAR) are fundamental sensors that help driving tasks for autonomous driving at various levels. Commercially available systems come in different specialized design schemes and involve plenty of specifications. In the literature, there are insufficient representations of the technical requirements for LiDAR systems in the automotive context, such as range, detection quality, resolving power, field of view, and eye safety. For this reason, the requirements above require to be derived based on ADAS functions. The requirements for various key LiDAR metrics, including detection range, field of view, angular resolution, and laser safety, are analyzed in this paper. LiDAR systems are available with various radiation patterns that significantly impact on detection range. Therefore, the detection range under various radiation patterns is firstly investigated in this paper. Based on ADAS functions, the required detection range and field of view for LiDAR systems are examined, taking into account various travel speeds to avoid collision and the coverage of the entire lane width. Furthermore, the angular resolution limits are obtained utilizing the KITTI dataset and exemplary 3D detection algorithms. Finally, the maximum detection ranges for the different radiation patterns are compared under the consideration of derived requirements and laser safety.

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Kuru, Kaya, Darren Ansell, Martin Jones, Benjamin Jon Watkinson, Noreen Caswell, Peter Leather, Andrew Lancaster, et al. "Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors." Medical & Biological Engineering & Computing 58, no. 5 (February 24, 2020): 943–65. http://dx.doi.org/10.1007/s11517-019-02091-x.

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Kawasaki, Haruhisa. "Special Issue on Analysis and Simulation Systems for Robotics and Mechatronics." Journal of Robotics and Mechatronics 10, no. 6 (December 20, 1998): 463. http://dx.doi.org/10.20965/jrm.1998.p0463.

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Superior analysis and simulation systems play an important part in robotics and mechatronics R&D. Developing apparatuses involves repeating planning, trial manufacture, experiments, analysis, and improvement. Simulation and analysis are now executed before trial manufacture, decreasing the number of trial manufacture, shortening development, and cutting development cost. Virtual reality is often applied to simulation, and commercialization without trial manufactures will eventually be possible. Most commercialized simulation software are being improved for general use based on software made by researchers because existing analysis and simulation do not function sufficiently and researchers are often required to develop their own analysis and simulation. Simulation developed for research thus may be used by many technical experts and researchers in the future. This special issue introduces seven reports on basic mechanism analysis developed to survey simulation research. Michisuke Jo et al. developed a mechanism kinetic analysis Motor Drive using FORTRAN and MATLAB. This article, entitled Kinematic Analysis of Mechanisms Using Motor Algebra and Graph Theory, considers kinematic analysis method using the latest drive version. Haruhisa Kawasaki et al. are developing robot analysis ROSAM II using C and Maple V. This article, entitled Symbolic Analysis of Robot Base Parameter Set Using Grobner-Basis, considers base parameter analysis of general robots with closed links. Hajime Morikawa et al. developed a robot simulator kinematically simulated by connecting graphic icons. This article, entitled Network-Based Robot Simulator Using Hierarchical Graphic Icons, considers construction of a robot simulator, kinetic analysis of multiple robot arms, dynamic analysis of forest trimmers, and an example applying remote control to space robots. Shigeki Toyama et al. developed general-use mechanism analysis simulator AI MOTION. This article, entitled Dynamic Autonomous Car Mobile Analysis Simulating Mechanical Systems Analysis, considers an autonomous car travel simulator dynamically modeling tires combined into AI MOTION. The simulator analyzes the connection of tire rigidity, car width, caster radius, and motion performance. Takayoshi Muto et al. developed dynamic behavior simulator BDSP for hydraulic systems. This article, entitled Software Package BDSP Developed to Simulate Hydraulic Systems, considers construction of BDSP that analyzes hydraulic systems using easy block diagrams. The simulator analyzes fluid line, nonlinear elements, and discrete time control. Shinichi Nakajima et al. developed a two-dimensional jaw movement simulator for clarifying the function of muscles in lower jaw motion. This article, entitled Development of 2-D Jaw Movement Simulator(JSN/SI), considers hardware and a control system for chewing food at a required force. Yoshiyuki Sankai et al., in Robot Objective Parallel Calculation and Real-time Control Using a Digital Signal Processor, consider parallel distributed and realtime control by DSP for constructing control in an actual robot. This issue discussed analysis and simulation developed for robotics and mechatronics R&D. Most systems are applicable to general-purpose situations. We hope this issue helps deepen the understanding of the status and applications of simulation research in mechatronics and promotes further development in the field.

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Gacanin, Haris. "Autonomous Wireless Systems With Artificial Intelligence: A Knowledge Management Perspective." IEEE Vehicular Technology Magazine 14, no. 3 (September 2019): 51–59. http://dx.doi.org/10.1109/mvt.2019.2920162.

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Mohd Basri, Mohd Ariffanan, and Nur Hayati Sahrir. "Design of Sub-Systems for GPS-Guided Autonomous Delivery Robot System." ELEKTRIKA- Journal of Electrical Engineering 21, no. 3 (December 22, 2022): 1–5. http://dx.doi.org/10.11113/elektrika.v21n3.333.

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The use of autonomous robots for delivery services is a new potential goldmine. Furthermore, since the e-commerce and delivery industry are growing at a rapid rate, it is recommended that a system that could handle the high-volume traffic as well serve as a new customer attraction, be implemented. Therefore, this work aims to develop the Autonomous Delivery Robot System (ADRS) that could be utilized for delivery services. The ADRS uses the Arduino microcontroller to run a program. The developed system consists of three main components (sub-systems), namely, mobile robot, cloud server and mobile application. The mobile robot is equipped with a tracking and an obstacle detection system to maneuver it autonomously. The ultrasonic sensors are used for obstacle detection, coupled with a Global Positioning System (GPS) to enable it deliver packages to customers in a typical outdoor environment. The ADRS ensures a human-contactless and secure delivery by using a password protected container to carry the delivery packages. Only the customer can unlock the container using the provided password via mobile application. The mobile application with customized map based on Google Maps is created to provide the user with an interactive interface. A camera is also attached on the robot for real-time monitoring purpose. The performance of the ADRS has been evaluated to determine the functionality of the developed system.

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Krysiuk, Cezary. "Autonomous cars, development of modern transport technology." Journal of Civil Engineering and Transport 3, no. 1 (May 4, 2022): 17–27. http://dx.doi.org/10.24136/tren.2021.002.

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The article presents selected issues from the conducted research and analyzes in the field of the development of autonomous vehicles, carried out under the project: Polish road to Automation of Road Transport. The development of autonomous cars is a global challenge for the automotive industry. The creation of a fully autonomous vehicle capable of transporting passengers and goods without the participation of a driver has become a priority goal of automotive concerns. The huge costs incurred by automotive concerns for the development of autonomous vehicles prove the progressing automotive revolution, which will have a significant impact on the shape of future transport systems, transport based on autonomous transport. Very often in the literature there are overly optimistic forecasts for the development of autonomous vehicles, as well as overestimating the benefits they are to bring, without pointing to the costs and problems of their implementation and functioning in the real transport system. The publication presents forecasts for the development of autonomous vehicles as well as the related risks and advantages of their implementation. The factors that have a significant impact on the development of these vehicles are also outlined.

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Armingol, José M., Cristina Olaverri-Monreal, Fernando García, Vicente Milanés, and David Martín. "Cooperative Systems for Autonomous Vehicles." Journal of Advanced Transportation 2018 (September 17, 2018): 1. http://dx.doi.org/10.1155/2018/8714549.

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Markovič, Jaromír, Radko Popovič, Peter Trebuňa, Miriam Pekarčíková, and Marek Kliment. "Virtual Commissioning as a Part of Mechatronical System." Applied Mechanics and Materials 816 (November 2015): 521–25. http://dx.doi.org/10.4028/www.scientific.net/amm.816.521.

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The paper deals with the mechatronical system, that are necessary during the implementation of the production processes in the companies. Mechatronics systems is a relatively new approach to product design and development, merging the principles of electrical, mechanical, computer and industrial engineering. Examples include robots, photocopiers, PC disk drives, sensors, automotive equipment sucha s anti-lock braking systems and many others. This paper focuses on robots and their possibilities of commissioning to the real production processes.

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Badea, Gabriel, Marius Toma, Dan Alexandru Micu, Gheorghe Frăţilă, and Ştefan Saragea. "Modelling and simulation automatic braking systems for vehicles." IOP Conference Series: Materials Science and Engineering 1235, no. 1 (March 1, 2022): 012033. http://dx.doi.org/10.1088/1757-899x/1235/1/012033.

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Abstract An automatic braking system is an important future step in attending the autonomous vehicle. This system increases the active safety of a vehicle, significantly reducing road accidents, and lowering the effects of accidents. The paper will present the steps that will develop the autonomous braking systems in conformity with the Society of Automotive Engineers (SAE) from the USA. As well the paper will present the modelling and simulating of the automatic braking systems of a vehicle from the middle class using LMS Amesim software.

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Biddle, Liam, and Saber Fallah. "A Novel Fault Detection, Identification and Prediction Approach for Autonomous Vehicle Controllers Using SVM." Automotive Innovation 4, no. 3 (April 5, 2021): 301–14. http://dx.doi.org/10.1007/s42154-021-00138-0.

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AbstractFaults that develop in vehicle sensors have the potential to propagate unchecked throughout control systems if undetected. Automatic fault diagnosis and health monitoring algorithms will become necessary as automotive applications become more autonomous. The current fault diagnosis systems are not effective for complex systems such as autonomous cars where the case of simultaneous faults in different sensors is highly possible. Therefore, this paper proposes a novel fault detection, isolation and identification architecture for multi-fault in multi-sensor systems with an efficient computational burden for real-time implementation. Support Vector Machine techniques are used to detect and identify faults in sensors for autonomous vehicle control systems. In addition, to identify degrading performance in a sensor and predict the time at which a fault will occur, a novel predictive algorithm is proposed. The effectiveness and accuracy of the architecture in detecting and identifying multiple faults as well as the accuracy of the proposed predictive fault detection algorithm are verified through a MATLAB/IPG CarMaker co-simulation platform. The results present detection and identification accuracies of 94.94% and 97.01%, respectively, as well as a prediction accuracy of 75.35%.

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Mckenzie, Ross, and John Mcphee. "Research and Educational Programs for Connected and Autonomous Vehicles at the University of Waterloo." Mechanical Engineering 139, no. 12 (December 1, 2017): S21—S23. http://dx.doi.org/10.1115/1.2017-dec-11.

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This article presents an overview of the research and educational programs for connected and autonomous vehicles at the University of Waterloo (UWaterloo). UWaterloo is Canada’s largest engineering school, with 9,500 engineering students and 309 engineering faculty. The University of Waterloo Centre for Automotive Research (WatCAR) for faculty, staff and students is contributing to the development of in-vehicle systems education programs for connected and autonomous vehicles (CAVs) at Waterloo. Over 130 Waterloo faculty, 110 from engineering, are engaged in WatCAR’s automotive and transportation systems research programs. The school’s CAV efforts leverage WatCAR research expertise from five areas: (1) Connected and Autonomous; (2) Software and Data; (3) Lightweighting and Fabrication; (4) Structure and Safety; and (5) Advanced Powertrain and Emissions. Foundational and operational artificial intelligence expertise from the University of Waterloo Artificial Intelligence Institute complements the autonomous driving efforts, in disciplines that include neural networks, pattern analysis and machine learning.

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Gomes, Tiago, Diogo Matias, André Campos, Luís Cunha, and Ricardo Roriz. "A Survey on Ground Segmentation Methods for Automotive LiDAR Sensors." Sensors 23, no. 2 (January 5, 2023): 601. http://dx.doi.org/10.3390/s23020601.

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In the near future, autonomous vehicles with full self-driving features will populate our public roads. However, fully autonomous cars will require robust perception systems to safely navigate the environment, which includes cameras, RADAR devices, and Light Detection and Ranging (LiDAR) sensors. LiDAR is currently a key sensor for the future of autonomous driving since it can read the vehicle’s vicinity and provide a real-time 3D visualization of the surroundings through a point cloud representation. These features can assist the autonomous vehicle in several tasks, such as object identification and obstacle avoidance, accurate speed and distance measurements, road navigation, and more. However, it is crucial to detect the ground plane and road limits to safely navigate the environment, which requires extracting information from the point cloud to accurately detect common road boundaries. This article presents a survey of existing methods used to detect and extract ground points from LiDAR point clouds. It summarizes the already extensive literature and proposes a comprehensive taxonomy to help understand the current ground segmentation methods that can be used in automotive LiDAR sensors.

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Fanelli, Francesco, Niccolò Monni, Nicola Palma, and Alessandro Ridolfi. "Development of an ultra short baseline–aided buoy for underwater targets localization." Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 233, no. 4 (February 1, 2019): 1212–25. http://dx.doi.org/10.1177/1475090219825768.

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Autonomous underwater vehicles localization and navigation are challenging due to the lack of Global Positioning System underwater: alternative techniques have then to be used in order to measure the position of the vehicle. To this aim, sensor fusion methods based on acoustic positioning systems are often exploited. This article faces the study and the improvement of the localization of an underwater target through an ultra short baseline–aided buoy built by the Mechatronics and Dynamic Modelling Laboratory of the University of Florence. Such a buoy relies on an ultra short baseline device for the localization and is aided by a proper sensor set in order to compensate variations in its pose. First, a study of the underwater localization based on the ultra short baseline technique is provided. The measurement errors entailed by the buoy motion are then analyzed and preliminarily compensated, exploiting linear least squares methods. Subsequently, filtering techniques are considered with the aim to further increase the accuracy of the ultra short baseline measurements. Due to the nonlinearities of the sensors characteristics, extended Kalman filter has been used, with different models for stationary and moving targets. The solutions proposed have been validated through experimental tests conducted with MArine Robotic Tool for Archaeology autonomous underwater vehicles built by the Mechatronics and Dynamic Modelling Laboratory. The results evidence an improved vehicle localization, suggesting interesting future developments concerning both mechanical and computational solutions.

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Turoń, Katarzyna, and Andrzej Kubik. "Economic Aspects of Driving Various Types of Vehicles in Intelligent Urban Transport Systems, Including Car-Sharing Services and Autonomous Vehicles." Applied Sciences 10, no. 16 (August 12, 2020): 5580. http://dx.doi.org/10.3390/app10165580.

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Nowadays, the concept of new mobility solutions like shared mobility systems is becoming more and more popular in current transport systems. The next technological step will be the idea of replacing traditional vehicles with autonomous ones. Because autonomous vehicles are a new concept in the automotive market, we dedicated this article to the idea of using autonomous vehicles as a part of car-sharing systems in intelligent, urban transport systems. The research herein is focused on the economic aspects of using autonomous vehicles in comparison to the classic car fleet available in car-sharing systems and to vehicles that belong to individual owners. We present our method for appropriate fleet selection based on the Delphi method and the calculations made through a scientific experiment performed based on Hartley’s plan. The results indicate the relation of travel parameters (including vehicle type) to the total cost of travel in urban transport systems. We also present the main terms related to autonomous vehicles. This article provides support for people who want to deepen knowledge about autonomous vehicles and new mobility solutions used in urban transport systems.

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Ontiri, Geoffrey K., and Lilian L. Amuhaya. "Integration of Mechatronic and Automation Technology in Sustainable Farming for Achieving Food Security in Kenya." European Journal of Electrical Engineering and Computer Science 6, no. 1 (February 22, 2022): 66–71. http://dx.doi.org/10.24018/ejece.2022.6.1.413.

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Advanced farming that involves modern technology, especially in large scale, can aid in attaining food security for any given country. In this study, the prospects of automation, mechatronics and the developments for modern farming are explored for sustainable agriculture in Kenya. For the purpose of technological diversification, the use of mechatronics and automation in various smart farming technological systems is presented. It is possible to step up development in realizing food security in Kenya with the use of these modern farming techniques among other similar technologies. The use Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IOT), Global System for Mobile (GSM) Communications, photovoltaic thermal solar systems, cloud data storage and radio frequency identification (RFID) technologies that are utilized in autonomous tractors, drone farming, livestock monitoring, smart poultry, dairy, irrigation, greenhouse, and farm warehouse systems are discussed. These advances can result in significant increase in production, efficiency, profits, as well as better monitoring, surveillance and tracking in the farm. Finally, the impact of these technologies on agriculture in relation to sustainable food security is explored, where it is demonstrated that mechatronic farm automation integrated with the mobile applications can offer better farm monitoring, increase yields as well as contribute towards better land utilization.

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Li, Yanzhou, Yuanqing Wu, and Wenjian Zhong. "Network-based formation control of unmanned autonomous systems with directed topologies." International Journal of Vehicle Design 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijvd.2022.10051672.

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Roman, Adrian-Silviu, Béla Genge, Adrian-Vasile Duka, and Piroska Haller. "Privacy-Preserving Tampering Detection in Automotive Systems." Electronics 10, no. 24 (December 18, 2021): 3161. http://dx.doi.org/10.3390/electronics10243161.

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Modern auto-vehicles are built upon a vast collection of sensors that provide large amounts of data processed by dozens of Electronic Control Units (ECUs). These, in turn, monitor and control advanced technological systems providing a large palette of features to the vehicle’s end-users (e.g., automated parking, autonomous vehicles). As modern cars become more and more interconnected with external systems (e.g., cloud-based services), enforcing privacy on data originating from vehicle sensors is becoming a challenging research topic. In contrast, deliberate manipulations of vehicle components, known as tampering, require careful (and remote) monitoring of the vehicle via data transmissions and processing. In this context, this paper documents an efficient methodology for data privacy protection, which can be integrated into modern vehicles. The approach leverages the Fast Fourier Transform (FFT) as a core data transformation algorithm, accompanied by filters and additional transformations. The methodology is seconded by a Random Forest-based regression technique enriched with further statistical analysis for tampering detection in the case of anonymized data. Experimental results, conducted on a data set collected from the On-Board Diagnostics (OBD II) port of a 2015 EUR6 Skoda Rapid 1.2 L TSI passenger vehicle, demonstrate that the restored time-domain data preserves the characteristics required by additional processing algorithms (e.g., tampering detection), showing at the same time an adjustable level of privacy. Moreover, tampering detection is shown to be 100% effective in certain scenarios, even in the context of anonymized data.

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Hjalmarsson-Jordanius, Anders, Mikael Edvardsson, Martin Romell, Johan Isacson, Carl-Johan Aldén, and Niklas Sundin. "Autonomous Transport: Transforming Logistics through Driverless Intelligent Transportation." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 7 (September 17, 2018): 24–33. http://dx.doi.org/10.1177/0361198118796968.

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How can autonomous technology be used beyond end-customer autonomous driving features? This position paper addresses this problem by exploring a novel autonomous transport solution applied in the automotive logistics domain. We propose that factory-complete cars can be transformed to become their own autonomous guided vehicles and thus transport themselves when being moved from the factory for shipment. Cars equipped with such a system are driverless and use an onboard autonomous transport solution combined with the advanced driver assistance systems pre-installed in the car for end-customer use. The solution uses factory-equipped sensors as well as the connectivity infrastructure installed in the car. This means that the solution does not require any extra components to enable the car to transport itself autonomously to complete a transport mission in the logistics chain. The solution also includes an intelligent off-board traffic control system that defines the transport mission and manages the interaction between vehicles during systems operation. A prototype of the system has been developed which was tested successfully in live trials at the Volvo Car Group plant in Gothenburg Sweden in 2017. In the paper, autonomous transport is positioned in between autonomous guided vehicles and autonomous driving technology. A review of the literature on autonomous vehicle technology offers contextual background to this positioning. The paper also presents the solution and displays lessons learned from the live trials. Finally, other use areas are introduced for driverless autonomous transport beyond the automotive logistics domain that is the focus of this paper.

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Lázár-Fülep, Tímea. "Scientific Research Review on Dependability of Complex Automotive Systems Developed towards Autonomous Driving." Periodica Polytechnica Transportation Engineering 50, no. 2 (March 1, 2022): 142–45. http://dx.doi.org/10.3311/pptr.16745.

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This brief scientific research review is related to EFOP project titled Dynamics and Control of Autonomous Vehicles meeting the Synergy Demands of Automated Transport Systems (EFOP-3.6.2-16-2017-00016), in which the following scientific consortium is taking part: Széchenyi István University, John von Neumann University, University of Dunaújváros and Óbudai University. The goal of the project is to improve mathematical techniques and processes that assist the increasingly complex design of technical structures and constituents implemented in self-driven automobiles and transport systems, focusing on safety and risk factor maintenance. This means examining the reliability of vehicle sensor networks and developing common risk assessment methods.

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Hu, Xinghua, and Mintanyu Zheng. "Research Progress and Prospects of Vehicle Driving Behavior Prediction." World Electric Vehicle Journal 12, no. 2 (June 18, 2021): 88. http://dx.doi.org/10.3390/wevj12020088.

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Autonomous driving technology is vital for intelligent transportation systems. Vehicle driving behavior prediction is the foundation and core of autonomous driving. A detailed review of the existing research on vehicle driving behavior prediction can improve the understanding of the current progress of research on autonomous driving and provide references for follow-up researchers. This paper primarily reviews and analyzes the control models of autonomous driving, prejudgment methods, on-road and intersection traffic decision-making, and shortcomings of the research about the prediction of individual intelligent vehicle driving behavior, the prediction on movements of vehicles connected via the Internet, and prediction of driving behavior in a mixed traffic environment. The deficiencies in the research on vehicle driving behavior prediction are as follows: (1) there are numerous limitations in the intelligent application scenarios of individual intelligent vehicles; (2) although the Internet of Vehicles is a significant developmental trend, the training and test datasets are not rich enough; and (3) as the research of mixed traffic flow is still in the initial stages, the comfort brought by autonomous driving in hybrid driving environments is not being considered. In addition to the above analyses and comments, the future research prospects of vehicle driving behavior prediction are discussed as well.

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Ibrahim, Mahmoud, Anton Rassõlkin, Toomas Vaimann, and Ants Kallaste. "Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System." Sustainability 14, no. 2 (January 6, 2022): 601. http://dx.doi.org/10.3390/su14020601.

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The significant progress in the electric automotive industry brought a higher need for new technological innovations. Digital Twin (DT) is one of the hottest trends of the fourth industrial revolution. It allows representing physical assets under various operating conditions in a low-cost and zero-risk environment. DTs are used in many different fields from aerospace to healthcare. However, one of the perspective applications of such technology is the automotive industry. This paper presents an overview of the implementation of DT technology in electric vehicles (EV) propulsion drive systems. A general review of DT technology is supplemented with main applications analysis and comparison between different simulation technologies. Primary attention is given to the adaptation of DT technology for EV propulsion drive systems.

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Donders, Stijn, Laszlo Farkas, Michael Hack, Herman Van der Auweraer, Roberto d’Ippolito, David Moens, and Wim Desmet. "Assessment of Uncertainty for Structural and Mechatronics Engineering Applications." Applied Mechanics and Materials 104 (September 2011): 145–59. http://dx.doi.org/10.4028/www.scientific.net/amm.104.145.

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Nowadays, mechanical industries operate in a highly competitive environment, therefore the process of developing a component from concept through detailed Computer-Aided Engineering (CAE) and performance validation is optimized for reduced development time and increased product performance. To continuously improve the product design and performance and reduce the costs and time to market, the design and performance engineering is shifted more and more towards virtual modeling and simulation processes from the expensive test-based design evaluations. Secondly, the booming introduction of active and adaptive systems in mechanical structures leads to a ‘mechatronics systems’ revolution, which further improves the product performance at the expense of increased system complexity. It is noted that the potential of structural dynamics test and analysis methods for addressing a structural dynamics design assessment or design optimization depends largely on the confidence that one can have in the results. That is, the results must be accurate, characteristic for the actual problem (and not be the result of testing artifacts) and representative for the actual behavior of the investigated structure. In this context, a key aspect is to be aware of the key sources of uncertainty in the designed product, and the impact thereof on the product performance in terms of structural dynamics, crashworthiness and/or acoustics. This paper reviews the main elements of test data and modal modeling uncertainty and assesses the impact of the uncertainty on some typical modeling problems taken from automotive and aerospace industry.

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Williamson, Rebecca, Yu Zhang, Bruce Mehler, and Ying Wang. "Challenges and Opportunities in Developing Next Generation In-Vehicle HMI Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 2115–16. http://dx.doi.org/10.1177/1071181319631516.

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The next generation of automotive human machine interface (HMI) systems is expected to be heavily dependent upon artificial intelligence; from autonomous driving to speech assistance, from gesture & touch-enabled interfaces to web & mobile integration. Smooth, safe, and user-friendly interaction between the driver and the vehicle is a key to winning market share. This panel aims to discuss challenges and opportunities for the next generation of automotive HMI from the perspective of human factors and user behavior. Panelists from industry and academia will offer their unique perspectives on the concerns and opportunities in developing future in-vehicle HMIs.

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Gorsich, D. J. "THE USE OF GAMING ENGINES FOR DESIGN REQUIREMENTS." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 141–46. http://dx.doi.org/10.1017/dsd.2020.333.

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AbstractThe automotive community has found to design and test autonomous systems, traditional CAE tools are not enough. The number of sensors and controls involved makes it very difficult to predict all the possible scenarios and system reactions to them. An approach to provide input to all the sensors and control systems is to use gaming engines. They are used “headless”, and in other cases with multiple users in the environment. In this paper we will highlight one case on how they are changing how the Army designs, tests, and sets requirements for autonomous ground systems.

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Severino, Alessandro, Salvatore Curto, Salvatore Barberi, Fabio Arena, and Giovanni Pau. "Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems." Applied Sciences 11, no. 8 (April 16, 2021): 3604. http://dx.doi.org/10.3390/app11083604.

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Autonomous driving is a technological innovation that involves the use of Artificial Intelligence (AI) in the automotive area, representing the future of transport and whose applications will influence the concept of driving and many other features of modern society. Indeed, the introduction of Autonomous Vehicles (AVs) on the market, along with the development of related technologies, will have a potential impact not only on the automotive industry but also on urban transport systems. New mobility-related businesses will emerge, whereas existing ones will have to adapt to changes. There are various aspects that affect urban transport systems: in this work, we highlight how road markings, intersections, and pavement design upgradings have a key role for AVs operation. This work aims to describe how contemporary society will be influenced by Autonomous Vehicles’ spread in regard to urban transport systems. A comprehensive analysis of the expected developments within urban transport systems is hereby presented, and some crucial issues concerning benefits and drawbacks are also discussed. From our studies, it emerges that the detection performed by vehicles is mainly affected by road markings characteristics, especially at intersections. Indeed, the need for a new cross-sections type arise, since vehicles wandering phenomena will be reduced due to AVs position-keeping systems.

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gupta, Akash, Rahat Ali, Abhay Pratap Singh, and P. Raja Kumar. "Autonomous Recognition Model." International Journal of Innovative Technology and Exploring Engineering 10, no. 6 (April 30, 2021): 67–73. http://dx.doi.org/10.35940/ijitee.f8821.0410621.

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Nowdays we are witnessing the technology transforming everything the way we used to do things and how the automobile industry is transforming itself with the use of technology IOT,Artificial intelligence,Machine learning.Companies shifting its products and its utilities in diferent way and they now want to acquire and introduce level-5 autonomous to future generation and big automobile companies are trying to achieve autonomous vechicles and we have researhed about the model that will help in assisting autonomous vechicles and trying to achieve that.We will develop this model with help of technologies like Artificial intelligence,Machine learning,Deep learning.Autonomous vehcicles will become a reality on our roads in the near future. However, the absence of a human driver requires technical solutions for a range of issues, and these are still being developed and optimised. It is a great contribution for the automotive industry which is going towards innovation and economic growth. If we talking about some past decade the momentum of new research and the world is now at the very advanced stage of technological revolution. “Autonomous-driving” vehicles. The term Self-driving cars, autonomous car, or the driverless cars have different name with common objective. The main focus is to keep the human being out of the vehicle control loop and to relieve them from the task of driving. Everyday automotive technology researchers solve challenges. In the future, without human assistance, robots will produce autonomous vehicles using IoT technology based on customer needs and prefer that these vehicles are more secure and comfortable in mobility systems such as the movement of people or goods. We will build a deep neural network model that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs which are a very important task for all autonomous vehicles .This model we have tested it and resulted in 95% accuracy.

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Gomes, Tiago, Ricardo Roriz, Luís Cunha, Andreas Ganal, Narciso Soares, Teresa Araújo, and João Monteiro. "Evaluation and Testing System for Automotive LiDAR Sensors." Applied Sciences 12, no. 24 (December 18, 2022): 13003. http://dx.doi.org/10.3390/app122413003.

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The world is facing a great technological transformation towards fully autonomous vehicles, where optimists predict that by 2030 autonomous vehicles will be sufficiently reliable, affordable, and common to displace most human driving. To cope with these trends, reliable perception systems must enable vehicles to hear and see all their surroundings, with light detection and ranging (LiDAR) sensors being a key instrument for recreating a 3D visualization of the world in real time. However, perception systems must rely on accurate measurements of the environment. Thus, these intelligent sensors must be calibrated and benchmarked before being placed on the market or assembled in a car. This article presents an Evaluation and Testing Platform for Automotive LiDAR sensors, with the main goal of testing both commercially available sensors and new sensor prototypes currently under development in Bosch Car Multimedia Portugal. The testing system can benchmark any LiDAR sensor under different conditions, recreating the expected driving environment in which such devices normally operate. To characterize and validate the sensor under test, the platform evaluates several parameters, such as the field of view (FoV), angular resolution, sensor’s range, etc., based only on the point cloud output. This project is the result of a partnership between the University of Minho and Bosch Car Multimedia Portugal.

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Lufinka, Ondřej, Jan Kadeřábek, Juraj Prstek, Jiří Skála, and Kamil Kosturik. "Omnidirectional Autonomous Robotic Platform for Advanced Driver Assistance Systems Testing —Movement, Localization and Navigation Possibilities." International Journal of Automotive Technology 23, no. 5 (October 2022): 1471–81. http://dx.doi.org/10.1007/s12239-022-0128-5.

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Albin, Doncey, and Steve Simske. "Design, Implementation, and Evaluation of a Semi-Autonomous, Vision-based, Modular Unmanned Ground Vehicle Prototype." Electronic Imaging 2021, no. 17 (January 18, 2021): 214–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.17.avm-214.

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In some traditional development processes, engineering teams communicate their subsystem interfaces without much overlap o their respective disciplines and processes. However, for a systems engineering-driven design, a holistic, multidisciplined approach is implemented from the ground up, with considerable overlap between the teams in every phase of the project. Approaching a system from a holistic perspective, rather than an isolated subsystem perspective, is a fundamental component to rapid prototype development and successful system integration. It is also required for full project-level concerns such as the data, security, safety, and sustainability operations. This paper presents the development of a prototype modular unmanned ground vehicle (UGV) used for fire detection and elimination. Taking a systems engineering approach, the mechatronics and control systems designs are performed first, then the system and the important subsystems are built and tested, and finally, the evaluation results are fed back for the next prototype iteration. The goal of this paper is to give engineering students and professionals an example of the process behind holistic development of a semi-autonomous UGV and to begin an inexpensive, readilymodified platform for engineers to build upon.

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Journal articles on the topic 'Automotive mechatronics and autonomous systems'

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