Design and Realization of Experimental Autonomous Driving System Based on Neural Network Control

Abstract:

Intelligent vehicle is an attractive solution to the traffic problems caused by automobiles. An experimental autonomous driving system based on a slot car set is designed and realized in the paper. With the application of a wireless camera equipped on the slot car, the track information is acquired and sent to the controlling computer. A backpropogation (BP) neural network controller is built to imitate the way of player’s thinking. After being trained, the neural network controller can give the proper voltage instructions to the direct current (DC) motor of the slot car according to different track conditions. Test results prove that the development of the autonomous driving system is successful.

• Periodical: Applied Mechanics and Materials (Volumes 241-244)
• Pages: 1953-1958
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.241-244.1953
• Online since: December 2012
• Authors: Qing Fu Kong, Fan Ming Zeng, Jie Chang Wu, Jia Ming Wu
• Keywords: Autonomous Driving, Intelligent Vehicle, Neural Network Control, Slot Car

References

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DOI: 10.1109/acc.1999.782922