Crash avoidance system based upon the cockroach escape response circuit

Chun Ta Chen, Roger D. Quinn, Roy E. Ritzmann

研究成果: 雜誌貢獻會議論文同行評審

13 引文 斯高帕斯(Scopus)


A crash avoidance system for automobiles is developed based upon a distributed network of artificial neurons that mimic the neural organization of the escape system in the American cockroach. The cockroach escape circuit is shown to be an excellent source of inspiration for the development of a collision avoidance system. The crash avoidance system is implemented in an artificial neural network which is trained off-line, but then is shown to produce real-time performance. A collision avoidance scheme which makes use of a crash alarm strategy is developed for training the neural network. A dynamic model of a four-wheeled vehicle with front wheel steering and realistic performance constraints is used to test the crash avoidance system. Simulation results show that the well-trained neural network causes successful, reflexive crash avoidance behaviors in a dynamic environment without a priori information.

頁(從 - 到)2007-2012
期刊Proceedings - IEEE International Conference on Robotics and Automation
出版狀態已發佈 - 1997 一月 1
事件Proceedings of the 1997 IEEE International Conference on Robotics and Automation, ICRA. Part 3 (of 4) - Albuquerque, NM, USA
持續時間: 1997 四月 201997 四月 25

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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