Share Email Print
cover

Proceedings Paper

Automatic lane keeping of a vehicle based on perception net
Author(s): Kwangsuck Boo; Moonyoung Jung
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The objective of this research is to monitor and control the vehicle motion in order to remove out the existing safety risk based upon the human-machine cooperative vehicle control. A predictive control method is proposed to control the steering wheel of the vehicle to keep the lane. Desired angle of the steering wheel to control the vehicle motion could be calculated based upon vehicle dynamics, current and estimated pose of the vehicle every sample steps. The vehicle pose and the road curvature were calculated by geometrically fusing sensor data from camera image, tachometer and steering wheel encoder through the Perception Net, where not only the state variables, but also the corresponding uncertainties were propagated in forward and backward direction in such a way to satisfy the given constraint condition, maintain consistency, reduce the uncertainties, and guarantee robustness. A series of experiments was conducted to evaluate the control performance, in which a car like robot was utilized to quit unwanted safety problem. As the results, the robot was keeping very well a given lane with arbitrary shape at moderate speed.

Paper Details

Date Published: 16 October 2000
PDF: 9 pages
Proc. SPIE 4196, Sensor Fusion and Decentralized Control in Robotic Systems III, (16 October 2000); doi: 10.1117/12.403729
Show Author Affiliations
Kwangsuck Boo, Inje Univ. (South Korea)
Moonyoung Jung, Inje Univ. (South Korea)


Published in SPIE Proceedings Vol. 4196:
Sensor Fusion and Decentralized Control in Robotic Systems III
Gerard T. McKee; Paul S. Schenker, Editor(s)

© SPIE. Terms of Use
Back to Top