NDLI: Prediction of unintended lane departure based on virtual driver

Content Provider	IEEE Xplore Digital Library
Author	Qingyang Chen Zhenping Sun Xiangjing An Daxue Liu Jinze Song Bo Zhang
Copyright Year	2011
Description	Author affiliation: Trucks and Ships Military Delegate Bureau, General Armament Ministry, Changsha, Hunan, China (Bo Zhang) \|\| College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, China (Qingyang Chen; Zhenping Sun; Xiangjing An; Daxue Liu; Jinze Song)
Abstract	To address the unintended lane departure problem in nowadays' vehicle safety, a novel method combining the quantitative description of criterions used for evaluating human driving behavior is proposed in this paper. The quantitative analysis of criterions incorporates vehicle kinematics, so can provide “virtual driver” sufficient basis for monitoring the human driving action. Based on that, critical trajectory is proposed to describe possible trajectory domain of the vehicle in short future time, instead of using the measured steering angle. This point is useful to conquer the disturbance of measuring error of the steering error, especially driving at high speed. Another aspect, the method doesn't need a lane model to describe the center line of the lane, but just uses the detected lane boundary points to predict tendency of lane departure, so can overcome the influence of lane recognition problem. Based on the novel method, the human driving action is graded at three levels: safe, remind, warn. Real vehicle experiments based on the method are carried out on the prototype HONGQI Autonomous Land Vehicle on highway. Results show that the method can predict the tendency of human driving action well, so can give rational suggestion when needed.
Starting Page	1727
Ending Page	1734
File Size	367528
Page Count	8
File Format	PDF
ISBN	9781457721984
ISSN	21530009
e-ISBN	9781457721977
DOI	10.1109/ITSC.2011.6082825
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Humans Acceleration Trajectory Safety Force Roads
Content Type	Text
Resource Type	Article

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