电动小车自动变道环境感知系统  

Automatic Lane Change Environment Perception System of Electric Vehicle

作　　者：王阳阳[1,2] 刘之光 邓航云 胥哲先 潘定[2] WANG Yangyang;LIU Zhiguang;DENG Hangyun;XU Zhexian;PAN Ding(Clean Energy Automotive Engineering Center, Shanghai 201804,China;School of Automotive Studies, Tongji University, Shanghai 201804, China)

机构地区：[1]同济大学新能源汽车工程中心,上海201804 [2]同济大学汽车学院,上海201804

出　　处：《同济大学学报（自然科学版）》2019年第8期1201-1206,共6页Journal of Tongji University:Natural Science

摘　　要：构建了电动小车自动变道环境感知系统.介绍了自动变道实车平台和转向系统结构改造方案,并设计了低成本、可靠的环境感知方案.对于同车道前车,采用加权融合算法对24 Ghz毫米波雷达和前视摄像头进行数据融合,通过实车采集,拟合了两种传感器在不同距离上的理想权重曲线,提高了环境感知的精度和稳定性.最后通过避障变道工况的试验,验证了自动变道环境感知系统的适用性.An automatic lane change(ALC) environment perception system of an electric vehicle is established. Besides, the ALC real vehicle platform and steering system structural transformation scheme are introduced. In addition, a low-cost and reliable environment perception scheme is designed. Moreover, for the front vehicle of the same lane, the data of a 24 Ghz millimeter wave radar and a forward-looking camera are fused through weighted fusion algorithm. Furthermore, through real vehicle acquisition, the ideal weight curves of the two sensors at different distances are fitted, which improves the accuracy and stability of the environment perception. Finally, the applicability of the ALC environment perception system of the electric vehicle is verified in an obstacle avoidance lane change experiment.

关 键 词：自动变道 环境感知 数据融合 电动小车 

分 类 号：U463.6[机械工程—车辆工程]