16 October 2000 Automatic lane keeping of a vehicle based on perception net
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Proceedings Volume 4196, Sensor Fusion and Decentralized Control in Robotic Systems III; (2000); doi: 10.1117/12.403729
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States
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.
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Kwangsuck Boo, Moonyoung Jung, "Automatic lane keeping of a vehicle based on perception net", Proc. SPIE 4196, Sensor Fusion and Decentralized Control in Robotic Systems III, (16 October 2000); doi: 10.1117/12.403729; https://doi.org/10.1117/12.403729
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KEYWORDS
Roads

Image processing

Safety

Sensors

Vehicle control

Cameras

Motion controllers

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