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Risk assessment for Collision Avoidance Systems [PDF]
17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014 Collision Avoidance Systems need to perform scene analysis and risk assessment in order to react conveniently. Based on the information provided by the perception system, scene analysis has to predict the evolution of the current driving situation for the near future.
Adam Houénou +2 more
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Collision Avoidance Systems [PDF]
Journal of Navigation, 1973 I was sorry to have missed the two papers by Captain K. D. Jones and Mr P. J. Houseley on the above subject, presented at a recent meeting of the Institute, and the subsequent discussion. Fortunately both Captain Jones and Mr. Houseley have been kind enough to let me see copies of their papers and I would like to add two pieces of information which may
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Collision avoidance in biological systems using collision cones [PDF]
2013 American Control Conference, 2013 The focus of the work in this paper is the comparison of a mathematical deconfliction algorithm to biological data in a range of species that demonstrate agile flight beyond the current capabilities of engineered systems. The algorithm was tailored to two coordinate systems, global and body relative, and two velocity changing criteria, constant and ...
Beth L. Boardman +5 more
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Journal of Advanced Transportation, 2020 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 ...
Zhiyou Cheng, Yaling Li, Bing Wu
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Journal of Marine Science and Engineering, 2023 Many achievements toward unmanned surface vehicles have been made using artificial intelligence theory to assist the decisions of the navigator. In particular, there has been rapid development in autonomous collision avoidance techniques that employ the ...
Zhe Sun, Yunsheng Fan, Guofeng Wang
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Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning
IEEE Access, 2020 In this paper, we generated intelligent self-driving policies that minimize the injury severity in unexpected traffic signal violation scenarios at an intersection using the deep reinforcement learning. We provided guidance on reward engineering in terms
Myounghoe Kim +4 more
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Collision Avoidance in Multi-Robot Systems
2007 International Conference on Mechatronics and Automation, 2007 Multi-robot systems have been widely applied to various applications to perform a given task collaboratively and cooperatively. In a multi-robot environment, path-planning or collision avoidance is an important problem. This paper tackles this important but challenging problem. We developed a step-forward approach for collision avoidance in multi-robot
Cai, C. +3 more
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UAV collision avoidance: a specific acceleration matching approach [PDF]
, 2011 Includes abstract.Includes bibliographical references.An increased level of autonomy is required for future Unmanned Aerial Vehicle (UAV) missions. One of the technologies required for this to occur is an adequate sense and avoid system to enable the UAV
Patel, Amir
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Journal of Marine Science and EngineeringWith the development of artificial intelligence technology, the future water traffic environment will present a new pattern of coexistence of manned ships and unmanned ships, because unmanned ships are different from manned ships in situation ...
Jian Zheng +3 more
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A review of essential technologies for collision avoidance assistance systems
Advances in Mechanical Engineering, 2017 Compared with automatic collision avoidance systems, collision avoidance assistance systems have attracted more research interest because they help avoid collisions in near-accident situations.
Zhiguo Zhao +4 more
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