基于驾驶员行为特征的车道偏离预警协调研究

Q4 Engineering
Hongyu Zheng, Mingxin Zhao
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引用次数: 2

摘要

车道偏离预警系统(LDWS)作为高级驾驶辅助系统(ADAS)的重要组成部分,在防止车道偏离和减少因车道偏离引起的交通事故方面发挥着重要作用。为了提高系统的预警效果和驾驶员的接受度,本文提出了一种LDWS个性化驾驶辅助算法。该组合算法由多模式车道过线时间(TLC)和基于驾驶员行为特征的未来偏移距离(FOD)组成。为了检测驾驶员的变道意图,开发了结合车辆状态和道路曲率的转向行为模型。通过驾驶模拟器试验,验证了基于TLC和FOD的多模式车道偏离预警算法在不同驾驶工况下的有效性。试验结果与预期性能相符。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An investigation on coordination of lane departure warning based on driver behaviour characteristics
As an important part of Advanced Driver Assistance Systems (ADAS), Lane Departure Warning System (LDWS) plays a significant role in lane departure prevention and reducing traffic accidents caused by lane departure. In order to improve the warning effect of the system as well as driver acceptance, this paper describes an LDWS algorithm for personalised driving assistance. The proposed combination algorithm consists of a multi-mode Time to Lane Crossing (TLC) and a Future Offset Distance (FOD) based on driver behaviour characteristics. To detect driver's lane change intention, the steering behaviour has been developed incorporating vehicle states and road curvature. Driving simulator tests are conducted to validate the lane departure warning algorithm with multi-mode based on TLC and FOD under various driving situations. The obtained test results are consistent with the expected performance.
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来源期刊
International Journal of Vehicle Autonomous Systems
International Journal of Vehicle Autonomous Systems Engineering-Automotive Engineering
CiteScore
1.30
自引率
0.00%
发文量
0
期刊介绍: The IJVAS provides an international forum and refereed reference in the field of vehicle autonomous systems research and development.
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