汽车工程 ›› 2021, Vol. 43 ›› Issue (9): 1314-1321.doi: 10.19562/j.chinasae.qcgc.2021.09.007
收稿日期:
2021-07-12
修回日期:
2021-07-30
出版日期:
2021-09-25
发布日期:
2021-09-26
通讯作者:
胡宏宇
E-mail:huhongyu@jlu.edu.cn
基金资助:
Naixuan Zhu1,Zhenhai Gao1,Hongyu Hu1(),Lü Ying2,Weiguang Zhao1
Received:
2021-07-12
Revised:
2021-07-30
Online:
2021-09-25
Published:
2021-09-26
Contact:
Hongyu Hu
E-mail:huhongyu@jlu.edu.cn
摘要:
基于风险评估的结果,如何实现智能车安全、合理、个性化的自主换道触发,是当下自主驾驶领域的研究热点。本文中基于人工势场理论,建立了障碍物的静态和动态风险场,从而对车辆周围的风险进行评估。之后对驾驶员日常驾驶数据中的换道数据进行提取和分析,得到个性化的换道触发。实车试验验证结果表明,采用本方法可很好地评估交通环境中的风险,实现个性化的换道触发。
朱乃宣,高振海,胡宏宇,吕颖,赵伟光. 基于交通风险评估的个性化换道触发研究[J]. 汽车工程, 2021, 43(9): 1314-1321.
Naixuan Zhu,Zhenhai Gao,Hongyu Hu,Lü Ying,Weiguang Zhao. Research on Personalized Lane Change Triggering Based on Traffic Risk Assessment[J]. Automotive Engineering, 2021, 43(9): 1314-1321.
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