Relevant bibliographies by topics / Collision avoidance

Academic literature on the topic 'Collision avoidance'

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Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Collision avoidance"

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Wickens, Christopher D., Adam Williams, Benjamin A. Clegg, and C. A. P. Smith. "Nautical Collision Avoidance." Human Factors: The Journal of the Human Factors and Ergonomics Society 62, no. 8 (September 18, 2019): 1304–21. http://dx.doi.org/10.1177/0018720819871409.

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Objective Experimentally investigate maneuver decision preferences in navigating ships to avoid a collision. How is safety (collision avoidance) balanced against efficiency (deviation from path and delay) and rules of the road under conditions of both trajectory certainty and uncertainty. Background Human decision error is a prominent factor in nautical collisions, but the multiple factors of geometry of collisions and role of uncertainty have been little studied in empirical human factors literature. Approach Eighty-seven Mechanical Turk participants performed in a lower fidelity ship control simulation, depicting ownship and a cargo ship hazard on collision or near-collision trajectories of various conflict geometries, while controlling heading and speed with the sluggish relative dynamics. Experiment 1 involved the hazard on a straight trajectory. In Experiment 2, the hazard could turn on unpredictable trials. Participants were rewarded for efficiency and penalized for collisions or close passes. Results Participants made few collisions, but did so more often when on a collision path. They sometimes violated the instructed rules of the road by maneuvering in front of the hazard ship’s path. They preferred speed control to heading control. Performance degraded in conditions of uncertainty. Conclusion Data reveal an understanding of maneuver decisions and conditions that affect the balance between safety and efficiency. Application The simulation and data highlight the degrading role of uncertainty and provide a foundation upon which more complex questions can be asked, asked of more trained navigators, and decision support tools examined.
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patil, Shreya. "Train Collision Avoidance System." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (October 31, 2016): 82–85. http://dx.doi.org/10.9756/bijsesc.8248.

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Li, Jinxin, Hongbo Wang, Wei Zhao, and Yuanyuan Xue. "Ship’s Trajectory Planning Based on Improved Multiobjective Algorithm for Collision Avoidance." Journal of Advanced Transportation 2019 (April 9, 2019): 1–12. http://dx.doi.org/10.1155/2019/4068783.

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With vigorous development of the maritime trade, many intelligent algorithms have been proposed to avoid collisions due to resulting casualties and increased costs. According to the international regulations for preventing collisions at sea (COLREGs) and the self-evolution ability of the intelligent algorithm, the collision avoidance trajectory can be more consistent with the requirements of reality and maritime personnel. In this paper, the optimization of ship collision avoidance strategies is realized by both an improved multiobjective optimization algorithm NSGA-II and the ship domain under the condition of a wide sea area without any external disturbances. By balancing the safety and economy of ship collision avoidance, the avoidance angle and the time to the action point are used as the variables encoded by the algorithm, and the fuzzy ship domain is used to calculate the collision avoidance risk to achieve collision avoidance. The simulation results show that the proposed method can optimize the ship collision avoidance strategy and provide a reasonable scheme for ship navigation.
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Liu, Xin, Shuwei Ren, Lei Zhang, Wei Shen, and Yubo Tu. "Research on Dynamic Path Planning and Tracking Control for Ship Collision Avoidance." Journal of Physics: Conference Series 2607, no. 1 (October 1, 2023): 012012. http://dx.doi.org/10.1088/1742-6596/2607/1/012012.

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Abstract Ship collisions are prevalent every year, leading to significant maritime traffic accidents. This paper presents research on dynamic path planning and tracking control for ship collision avoidance by integrating ship automatic avoidance technology to address this issue. We conducted a comprehensive study on artificial potential fields, trajectory tracking, and route trajectory tracking in response to the current state of ship collision avoidance and trajectory tracking. The study employed vector decomposition and slider control as research methods to analyze, optimize, and modify ship collision avoidance methods. Additionally, we carried out collision avoidance simulations using MATLAB to verify the stability and safety of ship trajectory tracking under various methods to advance the research on ship collision avoidance and trajectory. The proposed approach has the potential to significantly reduce ship collisions and enhance ship trajectory safety.
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Fan, Yunsheng, Xiaojie Sun, Guofeng Wang, and Dongdong Mu. "Collision Avoidance Controller for Unmanned Surface Vehicle Based on Improved Cuckoo Search Algorithm." Applied Sciences 11, no. 20 (October 19, 2021): 9741. http://dx.doi.org/10.3390/app11209741.

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For the dynamic collision avoidance problem of an unmanned surface vehicle (USV), a dynamic collision avoidance control method based on an improved cuckoo search algorithm is proposed. The collision avoidance model for a USV and obstacles is established on the basis of the principle of the velocity obstacle method. Simultaneously, the Convention on the International Regulations for Preventing Collisions at Sea (COLREGS) is incorporated in the collision avoidance process. For the improvement of the cuckoo algorithm, the adaptive variable step-size factor is designed to realize the adaptive adjustment of flight step-size, and a mutation and crossover strategy is introduced to enhance the population diversity and improve the global optimization ability. The improved cuckoo search algorithm is applied to the collision avoidance model to obtain an optimal collision avoidance strategy. According to the collision avoidance strategy, the desired evasion trajectory is obtained, and the tracking controller based on PID is used for the Lanxin USV. The experimental results show the feasibility and effectiveness of the proposed collision avoidance method, which provides a solution for the autonomous dynamic collision avoidance of USVs.
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Zheng, Mao, Kehao Zhang, Bing Han, Bowen Lin, Haiming Zhou, Shigan Ding, Tianyue Zou, and Yougui Yang. "An Improved VO Method for Collision Avoidance of Ships in Open Sea." Journal of Marine Science and Engineering 12, no. 3 (February 26, 2024): 402. http://dx.doi.org/10.3390/jmse12030402.

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In order to effectively deal with collisions in various encounter situations in open water environments, a ship collision avoidance model was established, and multiple constraints were introduced into the velocity obstacle method, a method to determine the ship domain by calculating the safe distance of approach was proposed. At the same time, the ship collision avoidance model based on the ship domain is analyzed, and the relative velocity set of the collision cone is obtained by solving the common tangent line within the ellipse. The timing of starting collision avoidance is determined by calculating the ship collision risk, and a method for ending collision avoidance is proposed. Finally, by comparing the simulation experiments of the improved algorithm with those of the traditional algorithm and the actual ship experiment results of manual ship maneuvering, it is shown that the method can effectively avoid collisions based on safe encounter distances that comply with navigation experience in different encounter situations. At the same time, it has better performance in collision avoidance behavior. It has certain feasibility and practical applicability.
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Wang, Weiqiang, Liwen Huang, Kezhong Liu, Xiaolie Wu, and Jingyao Wang. "A COLREGs-Compliant Collision Avoidance Decision Approach Based on Deep Reinforcement Learning." Journal of Marine Science and Engineering 10, no. 7 (July 9, 2022): 944. http://dx.doi.org/10.3390/jmse10070944.

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It is crucial to develop a COLREGs-compliant intelligent collision avoidance system for the safety of unmanned ships during navigation. This paper proposes a collision avoidance decision approach based on the deep reinforcement learning method. A modified collision avoidance framework is developed that takes into consideration the characteristics of different encounter scenarios. Hierarchical reward functions are established to assign reward values to constrain the behavior of the agent. The collision avoidance actions of the agent under different encounter situations are evaluated on the basis of the COLREGs to ensure ship safety and compliance during navigation. The deep Q network algorithm is introduced to train the proposed collision avoidance decision framework, while various simulation experiments are performed to validate the developed collision avoidance model. Results indicate that the proposed method can effectively perform tasks that help ships avoid collisions in different encounter scenarios. The proposed approach is a novel attempt for intelligent collision avoidance decisions of unmanned ships.
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Li, Qiang. "A Research on Autonomous Collision Avoidance under the Constraint of COLREGs." Sustainability 15, no. 3 (January 30, 2023): 2446. http://dx.doi.org/10.3390/su15032446.

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In this paper, a decision-making model suitable for the collision avoidance (CA) of numerous target ships (TSs) is proposed, based on the principle of ship collision avoidance geometry and the characteristics of numerous target ships’ collision avoidance at sea. To ensure that the collision avoidance behaviors of own-ship (OS) are subject to the International Regulations for Preventing Collisions at Sea (COLREGS), this paper gives full consideration to the requirements of COLREGS within the scope of CA action and the time of collision avoidance. A ship CA simulation is established based on the Mathematical Modeling Group (MMG) model. To optimize the CA decision-making model, the influence of hydrodynamic force on steering time required to reach the new course is integrated into the collision avoidance simulation system. The simulation results show that the method can quickly and effectively determine a collision avoidance decision under the complex situation of numerous target ships and static obstacles, and it can consider the unpredictable strategies used by other vessels.
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Cheng, Zhiyou, Yaling Li, and Bing Wu. "Early Warning Method and Model of Inland Ship Collision Risk Based on Coordinated Collision-Avoidance Actions." Journal of Advanced Transportation 2020 (July 20, 2020): 1–14. http://dx.doi.org/10.1155/2020/5271794.

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To reduce the occurrence of ship collisions, immediate danger, and close-quarters situations in narrow inland waterways, a step-by-step early warning system for ship collision-avoidance actions was developed, along with an early warning method and model of collision risk based on coordinated collision-avoidance actions. This study first analyzed the importance of coordinated collision-avoidance actions in inland waterways, and the process and key components of coordinated collision-avoidance actions were studied. Then, the early warning method of inland ship collision risk based on coordinated collision-avoidance actions was introduced; the effectiveness of the early warning method was comparatively analyzed via experimental observations. A framework of early warning model of inland ship collision risk was created based on the early warning method; a collision risk early warning model for inland ships based on coordinated collision-avoidance actions was proposed according to the relationship between the distance/time to the closest point of approach (DCPA, TCPA), coordination degree of collision-avoidance actions of the two considered ships and collision risk; moreover, the early warning model of inland ship collision risk was further considered for quantitative calculation. Finally, the application of the early warning method and model was demonstrated using a case study. The results indicate that the early warning method of inland ship collision risk based on coordinated collision-avoidance actions could effectively reduce the emergence of close-quarters situations and immediate danger, and the early warning model could quantitatively show the evolution of collision risk of two ships along with the process of coordinated collision-avoidance actions.
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Liang, Zuopeng, Fusheng Li, and Shibo Zhou. "An Improved NSGA-II Algorithm for MASS Autonomous Collision Avoidance under COLREGs." Journal of Marine Science and Engineering 12, no. 7 (July 20, 2024): 1224. http://dx.doi.org/10.3390/jmse12071224.

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Autonomous collision avoidance decision making for maritime autonomous surface ships (MASS), as one of the key technologies for MASS autonomous navigation, is a research hotspot focused on by relevant scholars in the field of navigation. In order to guarantee the rationality, efficacy, and credibility of the MASS autonomous collision avoidance scheme, it is essential to design the MASS autonomous collision avoidance algorithm under the stipulations of the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs). In order to enhance the autonomous collision avoidance decision-making capability of MASS in accordance with the relevant provisions of COLREGs, an improved NSGA-II autonomous collision avoidance decision-making algorithm based on the good point set method (GPS-NSGA-II) is proposed, which incorporates the collision hazard and the path cost of collision avoidance actions. The experimental results in the four simulation scenarios of head-on situation, overtaking situation, crossing situation, and multi-ship encounter situation demonstrate that the MASS autonomous collision avoidance decision making based on the GPS-NSGA-II algorithm under the constraints of COLREGs is capable of providing an effective collision avoidance scheme that meets the requirements of COLREGs in common encounter situations and multi-ship avoidance scenarios promptly, with a promising future application.
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Dissertations / Theses on the topic "Collision avoidance"

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Matthews, Neil David. "Visual collision avoidance." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287308.

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Perkins, Christopher James. "International collision regulations for automatic collision avoidance." Thesis, University of Plymouth, 1996. http://hdl.handle.net/10026.1/2270.

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This thesis considers the relationship between collision regulations and an automatic collision avoidance system (ACAS). Automation of ship operations is increasingly common. The automation of the collision avoidance task may have merit on grounds of reduced manual workload and the elimination of human error. Work to date by engineers and computer programmers has focused on modelling the requirements of the current collision regulations. This thesis takes a new approach and indicates that legislative change is a necessary precursor to the implementation of a fully automatic collision avoidance system. A descriptive analysis has been used to consider the nature of the collision avoidance problem and the nature of rules as a solution. The importance of coordination between vessels is noted and three requirements for coordination are established. These are a mutual perception of: risk, the strategy to be applied, and the point of manoeuvre. The use of rules to achieve coordination are considered. The analysis indicates that the current collision regulations do not provide the means to coordinate vessels. A review of current and future technology that may be applied to the collision avoidance problem has been made. Several ACAS scenarios are contrived. The compatibility of the scenarios and the current collision regulations is considered. It is noted that both machine sensors and processors affect the ability to comply with the rules. The case is made for judicial recognition of a discrete rule-base for the sake of an ACAS. This leads to the prospect of quantified collision regulations for application by mariners. A novel rule-base to match a pm1icular ACAS scenario has been devised. The rules are simple and brief. They avoid inputs dependent on vision and visibility, and meet all the aforementioned coordination requirements. Their application by mariners to two-vessel open sea, encounters was tested on a navigation simulator. The experimental testing of such a rule-base is unique. Mariners were given experience of applying the rule-base in certain circumstances and asked by questionnaire what their agreeable action would be. This was compared with their usual action. While the number of experiments was small, an indication was given of the impm1ant issues in applying a quantified rule-base. Aspects identified for fm1her study include the testing of rule base elements in isolation, and the use of quantified rules in multi-ship and confined water encounters.
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Engelhardtsen, Øystein. "3D AUV Collision Avoidance." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9534.

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An underlying requirement for any Autonomous Underwater Vehicle (AUV) is to navigate through unknown or partly unknown environments while performing certain user specified tasks. The loss of an AUV due to collision is unjustifiable both in terms of cost and replacement time. To prevent such an unfortunate event, one requires a robust and effective Collision Avoidance System (CAS). This paper discusses the collision avoidance problem for the HUGIN AUVs. In the first part, a complete simulator for the HUGIN AUV is implemented in matlab and simulink. This includes a 6 degrees-of-freedom nonlinear AUV model, simulated environment including bottom profile and surface ice, navigation- and guidance functionality and sensor simulators. In the second part a number of well known strategies for the collision avoidance problem is presented with a short analysis of their properties. On the basis of the implemented simulator, a proposed CAS is developed and it’s performance is analyzed. This system is based on simple principles and known collision avoidance strategies, in order to provide effective and robust performance. The proposed system provides feasible solutions during all simulations and the collision avoidance maneuvers are performed in accordance with the specified user demands. The developed simulator and collision avoidance system is expected to provide a suitable framework for further development and possibly a physical implementation on the HUGIN AUVs.

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Tsoularis, A. "Collision avoidance in unstructured workspaces." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360766.

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Phan, Long N. 1976. "Collision avoidance via laser rangefinding." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80045.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1999.
Includes bibliographical references (leaf 105).
by Long N. Phan.
S.M.
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Agarwal, Megha, Alisha Bandekar, Ashley Kang, Tyler Martis, Hossein Namazyfard, Alan Yeh, Megha Agarwal, et al. "Automotive LiDAR Collision-Avoidance System." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/624893.

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The project at hand is an Automotive LiDAR Collision Avoidance System sponsored by Texas Instruments. The purpose of this project is to design and create a LiDAR system that utilizes Texas Instruments' technology to avoid forward collisions when mounted on a remote control car. The team is made up of six seniors from the University of Arizona of four different engineering disciplines including electrical, mechanical, computer, and optical engineering. The LiDAR Collision avoidance system is designed and built under a budget constraint of $4,000 and a non-negotiable completion deadline of May 1, 2017, otherwise known as Design Day.
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Jansson, Jonas. "Collision avoidance theory with application to automotive collision mitigation /." Doctoral thesis, Linköping : Dept. of Electrical Enginering, Univ, 2005. http://www.bibl.liu.se/liupubl/disp/disp2005/tek950s.pdf.

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Loe, Øivind Aleksander G. "Collision Avoidance for Unmanned Surface Vehicles." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8866.

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Considerable progress has been achieved in recent years with respect to autonomous vehicles. A good example is the DARPA Grand Challenge, a competition for autonomous ground vehicles. None of the competing vehicles managed to complete the challenge in 2004, but returning in 2005, a total of five vehicles were successful. Effective collision avoidance is a requirement for autonomous navigation, and even though much progress has been done, it still remains an open problem. The focus of this thesis is on the development of a collision avoidance system for unmanned surface vehicles (USVs), which is compliant with the International Regulations for Avoiding Collisions at Sea (COLREGS). The system is based on a modified version of the Dynamic Window algorithm, taking both acceleration and lateral speeds into account for reactive collision avoidance. Path planning is provided by the Rapidly-Exploring Random Tree (RRT) algorithm, extended to use the A* algorithm as a guide, which significantly increases its efficiency. Extensive simulations have been performed in order to determine the value of the modifications done to the original algorithms, as well as the performance of the total control system. Full-scale experiments have also been carried out in an attempt to verify the results from the simulations. The collision avoidance system performed very well during the simulations, finding near-optimal paths through the environment and evading other vessels in a COLREGS-compliant fashion. In the full-scale experiments, important sensor data was erroneous, resulting in reduced avoidance margins. However, the collision avoidance system still kept the controlled vessel safe, showing significant robustness.

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Rennæs, Karsten Fernholt. "Wireless Positioning and Collision Avoidance System." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19205.

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Early in the 1980's Jens G. Balchen wanted to create an autonomous bike, capable of driving without any help from supporting wheels or human interaction. The intriguing idea included a variety of complicated concepts and was at that time almost an impossible task to accomplish. As time progressed and both technology and equipment developed, the possibility of a driverless bike becomes more than just an idea. The Norwegian University of Science and Technology (NTNU) has during the later years dedicated resources, time and effort in making a reality of the concept through the project named CyberBike. Every year, clever solutions are brought to the table, adding more functionality and better designs, bringing the project closer to a complete solution of an autonomous bike.The main focus of this thesis has been to develop a system for the bikes positioning system, as well as collision avoidance. It also includes the communication made from the bike to a potential operator via wireless data transfer. The goal is to make a solution for the bike so that it could travel a given route, while communicating important data back to the observers. The task encompasses gathering the information made available by previous work, defining key areas of improvement and designing and testing a proposed solution. First, the overall design is presented, showing how the two circuit boards made as the solution are connected with possible peripherals. The technical communication challenges pertaining the wireless communication is touched upon and relevant concepts are introduced. Furthermore, the selected microcontroller for the system is presented, giving key pointers in specific areas which might be confusing. Different possible devices are then discussed for the positioning system, the wireless communication and different setups of range sensors. Testing done using the equipment explained in the thesis is presented, showing the results of the system. Improvements to the solution are introduced based on the experience obtained through the work, giving a solid basis for further work relating to the subject.
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Strömgren, Oliver. "Deep Learning for Autonomous Collision Avoidance." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-147693.

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Deep learning has been rapidly growing in recent years obtaining excellent results for many computer vision applications, such as image classification and object detection. One aspect for the increased popularity of deep learning is that it mitigates the need for hand-crafted features. This thesis work investigates deep learning as a methodology to solve the problem of autonomous collision avoidance for a small robotic car. To accomplish this, transfer learning is used with the VGG16 deep network pre-trained on ImageNet dataset. A dataset has been collected and then used to fine-tune and validate the network offline. The deep network has been used with the robotic car in a real-time manner. The robotic car sends images to an external computer, which is used for running the network. The predictions from the network is sent back to the robotic car which takes actions based on those predictions. The results show that deep learning has great potential in solving the collision avoidance problem.
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Books on the topic "Collision avoidance"

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Authority, Civil Aviation, ed. Collision avoidance. Cheltenham: Civil Aviation Authority, 1990.

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Colorado. Air National Guard. Tactical Fighter Wing, 140th. Safety Office, ed. Midair collision avoidance. Aurora, Colo: Safety Office, Buckley ANG Base, 1990.

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Cockcroft, A. N. Guide to the collision avoidance rules. 6th ed. Oxford: Butterworth-Heinemann, 2003.

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K, Jurgen Ronald, and Society of Automotive Engineers, eds. Object detection, collision warning & avoidance systems. Warrendale, PA: SAE International, 2007.

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United States. National Aeronautics and Space Administration., ed. Collision detection for spacecraft proximity operations. Cambridge, Mass: The Charles Stark Draper Laboratories, Inc., 1987.

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United States. Air Force. Strategic Air Command. Bombardment Wing, 380th, ed. Midair collision potential. [Plattsburgh Air Force Base, N.Y.]: 380th Bombardment Wing (SAC), 1990.

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Naja, Rola, ed. Wireless Vehicular Networks for Car Collision Avoidance. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9563-6.

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Authority, Civil Aviation, ed. Airborne collision avoidance systems (ACAS): Guidance material. 2nd ed. London: Civil Aviation Authority, 1994.

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L, Lichtenberg Christopher, and Lyndon B. Johnson Space Center., eds. Application of radar for automotive collision avoidance. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center ; [Springfield, Va., 1987.

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Naja, Rola. Wireless Vehicular Networks for Car Collision Avoidance. New York, NY: Springer New York, 2013.

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Book chapters on the topic "Collision avoidance"

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Alnajjar, Khawla A., Noora Abdulrahman, Fatma Mahdi, and Marwah Alramsi. "Vehicle Collision Avoidance." In Communications in Computer and Information Science, 53–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61143-9_5.

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Weik, Martin H. "access with collision avoidance." In Computer Science and Communications Dictionary, 14. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_168.

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Platzer, André. "Air Traffic Collision Avoidance." In Logical Analysis of Hybrid Systems, 303–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14509-4_8.

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Schmidt, Bernard. "Real-Time Collision Detection and Collision Avoidance." In Advanced Human-Robot Collaboration in Manufacturing, 91–113. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69178-3_4.

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Oliva, Damián. "Collision Avoidance Models, Visually Guided." In Encyclopedia of Computational Neuroscience, 626–45. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_323.

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de Toledo, Santiago Álvarez, José M. Barreiro, Josél L. Fuertes, Álngel L. González, and Juan A. Lara. "Automatic Collision Avoidance and Navigation." In Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, 272–76. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8735-6_51.

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Coenen, F., and P. Smeaton. "KBS in Marine Collision Avoidance." In Applications of Artificial Intelligence in Engineering VI, 529–39. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3648-8_34.

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Lommertzen, Janneke, Eliana Costa e Silva, Raymond H. Cuijpers, and Ruud G. J. Meulenbroek. "Collision-Avoidance Characteristics of Grasping." In Anticipatory Behavior in Adaptive Learning Systems, 188–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02565-5_11.

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Abramowski, Stephan. "Collision avoidance for nonrigid objects." In Computational Geometry and its Applications, 168–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-50335-8_33.

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van den Berg, Jur, Stephen J. Guy, Ming Lin, and Dinesh Manocha. "Reciprocal n-Body Collision Avoidance." In Springer Tracts in Advanced Robotics, 3–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19457-3_1.

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Conference papers on the topic "Collision avoidance"

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Abay, Rasit. "Collision avoidance dynamics for optimal impulsive collision avoidance maneuvers." In 2017 8th International Conference on Recent Advances in Space Technologies (RAST). IEEE, 2017. http://dx.doi.org/10.1109/rast.2017.8002935.

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BENDISCH, J., and D. REX. "Collision avoidance analysis." In Orbital Debris Conference: Technical Issues andFuture Directions. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1338.

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Newcomer, Jeffrey L. "Smooth Collision Avoidance Trajectories: A Dynamic Collision Avoidance Algoritm for Mobile Robots." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8641.

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Abstract This paper presents an algorithm for generating Smooth Collision Avoidance Trajectories (SCAT). SCAT generation is a method that allows a mobile robot that is moving along a pre-planned path to alter a section of its path, so that it may smoothly exit the original path, avoid a predicted collision, and return to the original path smoothly and on schedule. The SCAT generation algorithm is an improvement over off-line methods, as it requires minimal a priori information, and is more robust than pre-planned methods by its very nature. The SCAT algorithm is also an improvement over on-line schemes that only alter velocity along a pre-planned path, as it is able to avoid collisions in cases that those methods cannot. Details of the SCAT generation algorithm are developed herein, followed by examples of the algorithm in action. Simulation results show that the SCAT algorithm is very dependable, given that it can be provided with reasonably accurate in-formation about the location of dynamic obstacles in its vicinity.
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Zimmermann, Simon, Matthias Busenhart, Simon Huber, Roi Poranne, and Stelian Coros. "Differentiable Collision Avoidance Using Collision Primitives." In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. http://dx.doi.org/10.1109/iros47612.2022.9981093.

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Green, Dale, and Steven J. McManus. "Collision avoidance passive sonar." In the Eighth ACM International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2532378.2533870.

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English, Jacob, and Jay Wilhelm. "Collision Avoidance in OpenUxAS." In AIAA Scitech 2020 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-0880.

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Belkin, V. V., and F. J. Yanovsky. "Aircraft Collision Avoidance System." In 2007 IEEE Aerospace Conference. IEEE, 2007. http://dx.doi.org/10.1109/aero.2007.352730.

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Wu Zhang and Sheldon Chang. "Vehicle-controlled collision avoidance." In Vehicle Navigation and Information Systems Conference, 1996. IEEE, 1996. http://dx.doi.org/10.1109/vnis.1996.1623755.

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Merchant, John, and Frank Pope. "Micro UAV collision avoidance." In Defense and Security Symposium, edited by Grant R. Gerhart, Douglas W. Gage, and Charles M. Shoemaker. SPIE, 2007. http://dx.doi.org/10.1117/12.718984.

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Ali, Mohammad, Andrew Gray, Yiqi Gao, J. Karl Hedrick, and Francesco Borrelli. "Multi-Objective Collision Avoidance." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3951.

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Abstract:
This paper presents a multi-objective safety system that is capable of avoiding unintended collisions with stationary and moving road obstacles, vehicle control loss as well as unintended roadway departures. The safety system intervenes only when there is an imminent safety risk while full control is left to the driver otherwise. The problems of assessing wether an intervention is required as well as controlling the vehicle motion in case an intervention is needed are jointly formulated as a single optimization problem, that is repeatedly solved in receding horizon. The novelty of the formulation lies in the ability of simultaneously avoiding moving obstacles while assessing the necessity thereof. The versatility of the proposed formulation is demonstrated through simulations showing its ability of avoiding a wide range of accident scenarios.
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Reports on the topic "Collision avoidance"

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Wilson, Mike, and Glenn Baker. Passive Collision Avoidance System for UAS. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada486617.

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Padhi, Radhakant, Amit K. Tripathi, and Ramsingh G. Raja. Reactive Collision Avoidance of UAVs withStereovision Sensing. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada595808.

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Mapes, Peter B. Fighter/Attack Automatic Collision Avoidance Systems Business Case. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada444127.

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Garcia-Luna-Aceves, J. J., and Asimakis Tzamaloukas. Reversing the Collision-Avoidance Handshake in Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada461595.

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Neiderer, Andrew M. Simulating Collision Avoidance by a Reactive Agent Using VRML. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada439893.

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Wang, Yu, and J. J. Garcia-Luna-Aceves. A Hybrid Collision Avoidance Scheme for Ad Hoc Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada457363.

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Trainham, Clifford, Paul Guss, Manuel Manard, and Edward Bravo. Drone Video Platform—Collision Avoidance, Situational Awareness, and Communications. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1722924.

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Carter, Evan, and Vernon Lawhern. Modeling Collision Avoidance Decisions by a Simulated Human-Autonomy Team. Aberdeen Proving Ground, MD: DEVCOM Army Research Laboratory, January 2023. http://dx.doi.org/10.21236/ad1190464.

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Chen, Yan, Christopher Nwagboso, and Panagiotis Georgakis. Modelling Integrated Safety Systems With Collision Avoidance and Intelligent Speed Adaptation. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0260.

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Miyoshi, Noboru, Masao Nagai, Takayoshi Kamada, and Hidehisa Yoshida. Development of Forward-Collision Avoidance Warning System Adapted for Driver Characteristics. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0554.

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