NDLI: A crash avoidance system based upon the cockroach escape response circuit

Content Provider	IEEE Xplore Digital Library
Author	Chun-Ta Chen Quinn, R.D. Ritzmann, R.E.
Copyright Year	1997
Description	Author affiliation: Mech. & Aerospace Eng., Case Western Reserve Univ., Cleveland, OH, USA (Chun-Ta Chen)
Abstract	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.
Starting Page	2007
Ending Page	2012
File Size	570395
Page Count	6
File Format	PDF
ISBN	0780336127
DOI	10.1109/ROBOT.1997.619164
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-04-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer crashes Vehicle crash testing Collision avoidance Artificial neural networks Vehicle dynamics Automobiles Neurons Circuits Real time systems Vehicles
Content Type	Text
Resource Type	Article

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