自动驾驶汽车-行人交互研究综述  

Review of Interaction Between Autonomous Vehicles and Pedestrians

作　　者：胡宏宇[1] 刁小桔 高菲[1] 高振海[1,2] Hu Hongyu;Diao Xiaojie;Gao Fei;Gao Zhenhai(State Key Laboratory of Automobile Simulation and Control,Jilin University,Changchun 130022;School of Automotive Engineering,Jilin University,Changchun 130022)

机构地区：[1]吉林大学,汽车仿真与控制国家重点实验室,长春130022 [2]吉林大学,汽车工程学院,长春130022

出　　处：《汽车技术》2021年第9期1-9,共9页Automobile Technology

基　　金：国家重点研发计划项目(2017YFB0102601);大学生创新创业训练计划项目(202010183X143)。

摘　　要：自动驾驶汽车已开始在部分开放道路进行测试,其与行人等其他交通参与者共享混行道路,面向自动驾驶汽车的车外人机交互技术亟需开展深入研究,以便行人快捷、高效地理解自动驾驶汽车的行驶意图,确保混合交通场景通行安全并提高通行效率。本文首先阐述了自动驾驶汽车与行人交互的重要意义,并从行人检测与跟踪、行人意图识别及行为预测、自动驾驶汽车的决策3个方面介绍了目前自动驾驶汽车的车外人机交互前期支撑技术研究概况,着眼于自动驾驶汽车行驶意图的表达,对交互需求和车外人机交互界面的设计原则及质量评估进行了梳理,最后提出了车外人机交互面临的挑战及未来的发展方向。Autonomous Vehicles(AVs)have begun to be tested on some open roads,and are mixed with other road participants such as pedestrians to share the road.There is an urgent need for in-depth research on the interaction technologies between AVs and pedestrians,so that human can quickly and efficiently understand the driving intention of AVs,to ensure the safety and efficiency of mixed traffic.This paper first introduces the significance of interaction between AVs and pedestrians.In addition,the current supporting technology hotspots of external human-machine interaction of AVs are introduced from 3 aspects:pedestrian detection and tracking,pedestrian intention recognition and behavior prediction,and AVs’decision-making.Based on the expression of AVs’driving intention,the interaction requirements and the design principles and quality evaluation of external Human-Machine Interface(eHMI)are sorted out.At last,this paper puts forward eHMI challenges and future development directions.

关 键 词：自动驾驶汽车 人机交互 行人意图识别 行为预测 

分 类 号：U461.91[机械工程—车辆工程]