Academic literature on the topic 'ADAS systémy'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'ADAS systémy.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "ADAS systémy"
Mahmudur Rahman, Md, Lesley Strawderman, and Daniel W. Carruth. "Effect of Driving Contexts on Driver Acceptance of Advanced Driver Assistance Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1944–48. http://dx.doi.org/10.1177/1541931213601965.
Full textDavoli, Luca, Marco Martalò, Antonio Cilfone, Laura Belli, Gianluigi Ferrari, Roberta Presta, Roberto Montanari, et al. "On Driver Behavior Recognition for Increased Safety: A Roadmap." Safety 6, no. 4 (December 12, 2020): 55. http://dx.doi.org/10.3390/safety6040055.
Full textOrlovska, J., C. Wickman, and R. Soderberg. "THE USE OF VEHICLE DATA IN ADAS DEVELOPMENT, VERIFICATION AND FOLLOW-UP ON THE SYSTEM." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 2551–60. http://dx.doi.org/10.1017/dsd.2020.322.
Full textMassow, Kay, and Ilja Radusch. "A Rapid Prototyping Environment for Cooperative Advanced Driver Assistance Systems." Journal of Advanced Transportation 2018 (2018): 1–32. http://dx.doi.org/10.1155/2018/2586520.
Full textOviedo-Trespalacios, Oscar, Jennifer Tichon, and Oliver Briant. "Is a flick-through enough? A content analysis of Advanced Driver Assistance Systems (ADAS) user manuals." PLOS ONE 16, no. 6 (June 17, 2021): e0252688. http://dx.doi.org/10.1371/journal.pone.0252688.
Full textClassen, Sherrilene, Mary Jeghers, Jane Morgan-Daniel, Sandra Winter, Luther King, and Linda Struckmeyer. "Smart In-Vehicle Technologies and Older Drivers: A Scoping Review." OTJR: Occupation, Participation and Health 39, no. 2 (February 22, 2019): 97–107. http://dx.doi.org/10.1177/1539449219830376.
Full textLedezma, Agapito, Víctor Zamora, Óscar Sipele, M. Paz Sesmero, and Araceli Sanchis. "Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems." Electronics 10, no. 12 (June 19, 2021): 1480. http://dx.doi.org/10.3390/electronics10121480.
Full textЕлисеев, Н. "СИСТЕМЫ ADAS – УДОБСТВО И БЕЗОПАСНОСТЬ." ELECTRONICS: SCIENCE, TECHNOLOGY, BUSINESS 203, no. 2 (March 22, 2021): 102–7. http://dx.doi.org/10.22184/1992-4178.2021.203.2.102.107.
Full textAbraham, Hillary, Bryan Reimer, and Bruce Mehler. "Learning to Use In-Vehicle Technologies: Consumer Preferences and Effects on Understanding." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1589–93. http://dx.doi.org/10.1177/1541931218621359.
Full textNylen, Ashley B., Michelle L. Reyes, Cheryl A. Roe, and Daniel V. McGehee. "Impacts on Driver Perceptions in Initial Exposure to ADAS Technologies." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 10 (May 18, 2019): 354–60. http://dx.doi.org/10.1177/0361198119847975.
Full textDissertations / Theses on the topic "ADAS systémy"
Pieger, Matúš. "Sledování řidiče." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442532.
Full textRobinson, J. "ADDS : An Ada dialogue development system." Thesis, University of Bradford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374926.
Full textAgha, Jafari Wolde Bahareh. "A systematic Mapping study of ADAS and Autonomous Driving." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-42754.
Full textNos, Pavel. "Využití průmyslového senzorového systému ADAM pro laboratorní měření." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217288.
Full textMartinez, Leandro Andrade. "Um framework para coprojeto de hardware e software de sistemas avançados de assistência ao motorista baseados em câmeras." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06122017-104613/.
Full textThe demand for new technologies, enhanced security and comfort for urban cars has grown considerably in recent years prompting the industry to create systems designed to support drivers (ADAS - Advanced Driver Assistance Systems). This fact contributed to the development of many embedded systems in the automotive area among them, the pedestrians collision avoidance. Through the advancement in various research, began circulating through the streets vehicles with anti-collision systems and autonomous navigation. However, to achieve ever more challenging goals, designers need tools to unite technology and expertise from different areas efficiently. In this context, there is a demand for building systems that increase the level of abstraction of models of image processing for use in embedded systems enabling better design space exploration. To help minimize this problem, this research demonstrates a develop a specific framework for hardware/software codesign to build ADAS systems using computer vision. The framework aims to facilitate the development of applications, allowing better explore the design space, and thus contribute to a performance gain in the development of embedded systems in relation to building entirely in hardware. One of the requirements of the project is the possibility of the simulation of an application before synthesis on a reconfigurable system. The main challenges of this system were related to the construction of the intercommunication system between the various Intellectual Property (IP) blocks and the software components, abstracting from the end user numerous hardware details, such as memory management, interruptions, cache, types (Floating point, fixed point, integers) and so on, enabling a more user-friendly system for the designer.
Joubert, Damien. "Conception pour le véhicule autonome et les applications ADAS sécuritaires d'un système vidéo ADAS coopératif à base de rétines CMOS." Thesis, Université Clermont Auvergne (2017-2020), 2019. http://www.theses.fr/2019CLFAC045.
Full textThe perception by monocular vision is an issue not solved yet. While a competition exists between many companies and huge investments were raised, the expected level of performance to autonomous driving is still not reached. Even if some advanced driving assistance systems functionalities make the driver believe that he can be less focused, it is not the case in practice and the responsibility is still based on its shoulder. This work aims at building a robust front vision system combining two modalities, thanks to the use of an artificial CMOS retina, or an event-based sensor, whose pixels can detect and timestamp positive or negative relative changes of illuminance. The frequency of data acquisition depends on the kinetic of the scene which could vary a lot in automotive scenarios. The two modalities extracted from the sensor are on one side conventional image processing algorithms, and on the other side the detection of light signals emitted by targets, modulated with high frequencies and characterizing the state or the orientation of the object. This work firstly aims at measuring CMOS retinas parameters, in order to design a simulation model and also to determine how the parameters evolve when facing automotive constraints. This step is articulated around the design of a characterization setup and the implementation of a sensor modelusing the measurements realized on the characterization setup. This latter also enables to quantify the performances achieved by the algorithms which detect modulated light signals, to check that each detection corresponds to the good cooperative signal and enable to optimize the sensor’s response to the range of frequencies used. The detection is demonstrated on simulation experiments and on a prototype, with a scope of 150 meters using a frequency equal to 5 kHz. The algorithms proposed in this work allow to keep the asynchronous characteristic of the data stream. The limitations of the technology have been identified to realize signal’s detection, and an attention can be provided to the next generations of CMOS retinas. In parallel, a detection and classification method based on convolutional neural networks is implemented. It consists of the creation of artificial images by integrating events over time, and to apply a transfer learning technique with a network trained on conventional images, made possible using dedicated data augmentation strategies to avoid overlearning. This network is then used to initialized tracking functions to determine the time to collision. This step uses the asynchronous advantage of event-based data, byestimating the movement locally through the computation of the optical flow. The simulation model of the sensor allows to test some algorithms and to evaluate the performance as a function of sensor’s parameters like the latency or the background noise. A prototype is set on test tracks to demonstrate that event-based tracking is much more efficient than image-based tracking. Finally, some attempts are tested to fuse the two modalities, and illustrate that the positioning of the target emitting the cooperative signal is complicated to manage without using the content of the conventional image. However, the classification and the tracking of the objects is improved in some cases thanks to the cooperative signal, which removes the density of a scene to be more focused on targets. This work, between sensors and algorithms, demonstrate how a cooperative vision system can be inserted into the perception function of autonomous vehicles to guarantee an optimal level of performances
Jeon, Dae Kyung. "Methodologies for developing distributed systems in Ada with a simulation of a distributed Ada system." Virtual Press, 1989. http://liblink.bsu.edu/uhtbin/catkey/722459.
Full textDepartment of Computer Science
Aziz, Tabinda. "Empirical Analyses of Human-Machine Interactions focusing on Driver and Advanced Driver Assistance Systems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/195975.
Full textBareiss, Max. "Effectiveness of Intersection Advanced Driver Assistance Systems in Preventing Crashes and Injuries in Left Turn Across Path / Opposite Direction Crashes in the United States." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/96570.
Full textM.S.
Future vehicles will have electronic systems that can avoid crashes in some cases where a human driver is unable, unaware, or reacts insufficiently to avoid the crash without assistance. The objective of this work was to determine, on a national scale, how many crashes and injuries could be avoided due to Intersection Advanced Driver Assistance Systems (I-ADAS), a hypothetical version of one of these up-and-coming systems. This work focused on crashes where one car is turning left at an intersection and the other car is driving through the intersection and not turning. The I-ADAS system has sensors which continuously search for other vehicles. When the I-ADAS system determines that a crash may happen, it applies the brakes or otherwise alerts the driver to apply the brakes. Rather than conduct actual crash tests, this was simulated on a computer for a large number of variations of the I-ADAS system. The basis for the simulations was real crashes that happened from 2005 to 2007 across the United States. The variations that were simulated changed the time at which the I-ADAS system triggered the brakes (or alert) and the simulated amount of computer time required for the I-ADAS system to make a choice. In some turning crashes, the car cannot see the other vehicle because of obstructions, such as a line of people waiting to turn left across the road. Because of this, simulations were conducted both with and without the visual obstruction. For comparison, we performed a simulation of the original crash as it happened in real life. Finally, since there are two cars in each crash, there are simulations when either car has the I-ADAS system or when both cars have the I-ADAS system. Each simulation either ends in a crash or not, and these are tallied up for each system variation. The number of crashes avoided compared to the number of simulations run is crash effectiveness. Crash effectiveness ranged from 1% to 84% based on the system variation. For each crash that occurred, there is another simulation of the time immediately after impact to determine how severe the impact was. This is used to determine how many injuries are avoided, because often the crashes which still happened were made less severe by the I-ADAS system. In order to determine how many injuries can be avoided by making the crash less severe, the first chapter focuses on injury modeling. This analysis was based on crashes from 2008 to 2015 which were severe enough that one of the vehicles was towed. This was then filtered down by only looking at crashes where the front or sides were damaged. Then, we compared the outcome (injury as reported by the hospital) to the circumstances (crash severity, age, gender, seat belt use, and others) to develop an estimate for how each of these crash circumstances affected the injury experienced by each driver and front row passenger. A second goal for this chapter was to evaluate whether federal government crash ratings, commonly referred to as “star ratings”, are related to whether the driver and passengers are injured or not. In frontal crashes (where a vehicle hits something going forwards), the star rating does not seem to be related to the injury outcome. In near-side crashes (the side next to the occupant is hit), a higher star rating is better. For frontal crashes, the government test is more extreme than all but a few crashes observed in real life, and this might be why the injury outcomes measured in this study are not related to frontal star rating. Finally, these crash and injury effectiveness values will only ever be achieved if every car has an I-ADAS system. The objective of the third chapter was to evaluate how the crash and injury effectiveness numbers change each year as new cars are purchased and older cars are scrapped. Early on, few cars will have I-ADAS and crashes and injuries will likely still occur at roughly the rate they would without the system. This means that crashes and injuries will continue to increase each year because the United States drives more miles each year. Eventually, as consumers buy new cars and replace older ones, left turn intersection crashes and injuries are predicted to be reduced. Long into the future (around 2050), the increase in crashes caused by miles driven each year outpaces the gains due to new cars with the I-ADAS system, since almost all of the old cars without I-ADAS have been removed from the fleet. In 2025, there will be 173,075 crashes and 15,949 injured persons that could be affected by the I-ADAS system. By 2060, many vehicles will have I-ADAS and there will be 70,439 crashes and 3,836 injuries remaining. Real cars will not have a system identical to the hypothetical I-ADAS system studied here, but systems like it have the potential to significantly reduce crashes and injuries.
Sullivan, James A. "Management of autonomous systems in the Navy's Automated Digital Network System (ADNS)." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA341474.
Full text"September 1997." Thesis advisor(s): Rex Buddenberg, Suresh Sridhar. Includes bibliographical references (p. 83-84). Also available online.
Books on the topic "ADAS systémy"
Ropper, Allan H. Adams and Victor's principles of neurology. 8th ed. New York: McGraw-Hill Medical Pub. Division, 2005.
Find full text1911-, Adams Raymond D., Victor Maurice 1920-, Brown Robert H. 1947-, and Victor Maurice 1920-, eds. Adams and Victor's principles of neurology. 8th ed. New York: McGraw-Hill Medical Pub. Division, 2005.
Find full text1911-, Adams Raymond D., Victor Maurice 1920-, Samuels Martin A, and Ropper Allan H, eds. Adams and Victor's principles of neurology. 9th ed. New York: McGraw-Hill Medical, 2009.
Find full textScharf, Peter. Learning together with Adam: A family guide to using the Coleco Adam personal computer system. New York: McGraw-Hill, 1985.
Find full textA system of social science: Papers relating to Adam Smith. 2nd ed. Oxford: Clarendon Press, 1996.
Find full textTrevor, Moreton, and Natali Antonio, eds. Ada for distributed systems. Cambridge: Cambridge University Press, 1988.
Find full textPractical visual techniques in system design: With applications to Ada. Englewood Cliffs, NJ: Prentice Hall, 1990.
Find full textThe Ada primer: An introduction to the Ada language system. New York: McGraw-Hill, 1985.
Find full textJames, Alinder, ed. Ansel Adams. Milan: IdeaBooks, 1986.
Find full textRichard, Wrigley, ed. Ansel Adams. New York, N.Y: Smithmark, 1992.
Find full textBook chapters on the topic "ADAS systémy"
Klanner, Felix, and Christian Ruhhammer. "Backend Systems for ADAS." In Handbook of Driver Assistance Systems, 685–700. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_29.
Full textKlanner, Felix, and Christian Ruhhammer. "Backend Systems for ADAS." In Handbook of Driver Assistance Systems, 1–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_29-1.
Full textGehrig, Stefan, and Uwe Franke. "Stereovision for ADAS." In Handbook of Driver Assistance Systems, 495–524. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_22.
Full textWinner, Hermann. "ADAS, Quo Vadis?" In Handbook of Driver Assistance Systems, 1557–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_62.
Full textGehrig, Stefan, and Uwe Franke. "Stereovision for ADAS." In Handbook of Driver Assistance Systems, 1–25. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_22-1.
Full textWinner, Hermann. "ADAS, Quo Vadis?" In Handbook of Driver Assistance Systems, 1–22. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_62-1.
Full textKleine-Besten, Thomas, Ralph Behrens, Werner Pöchmüller, and Andreas Engelsberg. "Digital Maps for ADAS." In Handbook of Driver Assistance Systems, 647–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12352-3_27.
Full textKleine-Besten, Thomas, Ralph Behrens, Werner Pöchmüller, and Andreas Engelsberg. "Digital Maps for ADAS." In Handbook of Driver Assistance Systems, 1–11. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09840-1_27-1.
Full textNg, Tian Seng. "ADAS in Autonomous Driving." In Robotic Vehicles: Systems and Technology, 87–93. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6687-9_12.
Full textDimitrakopoulos, George. "Advanced Driver Assistance Systems (ADAS)." In Current Technologies in Vehicular Communication, 63–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47244-7_4.
Full textConference papers on the topic "ADAS systémy"
Ahadi-Sarkani, Armand, and Salma Elmalaki. "ADAS-RL." In CPS-IoT Week '21: Cyber-Physical Systems and Internet of Things Week 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3458648.3460008.
Full textRaviteja, S., and R. Shanmughasundaram. "Advanced Driver Assitance System (ADAS)." In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2018. http://dx.doi.org/10.1109/iccons.2018.8663146.
Full textPeng, Jinzhang, Lu Tian, Xijie Jia, Haotian Guo, Yongsheng Xu, Dongliang Xie, Hong Luo, Yi Shan, and Yu Wang. "Multi-task ADAS system on FPGA." In 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE, 2019. http://dx.doi.org/10.1109/aicas.2019.8771615.
Full textChalmers, I. J. "User attitudes to automated highway systems." In International Conference on Advanced Driver Assistance Systems (ADAS). IEE, 2001. http://dx.doi.org/10.1049/cp:20010489.
Full textSenior, C. J. D. "Telematics systems from the service perspective." In International Conference on Advanced Driver Assistance Systems (ADAS). IEE, 2001. http://dx.doi.org/10.1049/cp:20010491.
Full textKees, M. "Hydraulic actuated brake and electromechanically actuated brake systems." In International Conference on Advanced Driver Assistance Systems (ADAS). IEE, 2001. http://dx.doi.org/10.1049/cp:20010495.
Full textHafner, M. R., K. So Zhao, A. Hsia, and Z. Rachlin. "Localization tools for benchmarking ADAS control systems." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844642.
Full textZiebinski, Adam, Rafal Cupek, Damian Grzechca, and Lukas Chruszczyk. "Review of advanced driver assistance systems (ADAS)." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2017 (ICCMSE-2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5012394.
Full textHaja, Andreas, Carsten Koch, and Lars Klitzke. "The ADAS SWOT Analysis - A Strategy for Reducing Costs and Increasing Quality in ADAS Testing." In 3rd International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006354103200325.
Full textCaruso, Giandomenico, Daniele Ruscio, Dedy Ariansyah, and Monica Bordegoni. "Driving Simulator System to Evaluate Driver’s Workload Using ADAS in Different Driving Contexts." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67850.
Full textReports on the topic "ADAS systémy"
Waraniak, John. Unsettled Issues on Sensor Calibration for Automotive Aftermarket Advanced Driver-Assistance Systems. SAE International, March 2021. http://dx.doi.org/10.4271/epr2021008.
Full textKerrigan, W. Analytical Data Management System (ADMS). Office of Scientific and Technical Information (OSTI), May 1987. http://dx.doi.org/10.2172/6845581.
Full textRazdan, Rahul. Unsettled Topics Concerning Human and Autonomous Vehicle Interaction. SAE International, December 2020. http://dx.doi.org/10.4271/epr2020025.
Full textRisko, Theodore. Avionics Diagnostic System (ADS). Fort Belvoir, VA: Defense Technical Information Center, June 1999. http://dx.doi.org/10.21236/ada368423.
Full textStouffer, Keith, Robert Jr Russell, Raymond Archacki, Thomas Engel, Richard Dansereau, and Arnold Grot. Advanced Deburring and Chamfering System (ADACS):. Gaithersburg, MD: National Institute of Standards and Technology, 1996. http://dx.doi.org/10.6028/nist.ir.5915.
Full textWelderman, Nelson H., Neal Altman, Mark Borger, Patrick Donohoe, William E. Hefley, Mark H. Klein, Stephan F. Landherr, Hans Mumm, and John A. Slusrz. Ada Embedded Systems Testbed Project. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada200609.
Full textRussell, Bob, and Fred Proctor. ADACS - an automated system for part finishing. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5171.
Full textStevens, B. W. Distributed Ada Programs on Heterogeneous Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1991. http://dx.doi.org/10.21236/ada294848.
Full textByrnes, C. M. Ada and X Window System Integration. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada246667.
Full textKnapper, Robert J., and David O. LeVan. A Portable Ada Multitasking Analysis System. Fort Belvoir, VA: Defense Technical Information Center, December 1988. http://dx.doi.org/10.21236/ada227594.
Full text