自动驾驶车辆晕动症研究综述  

A Research Review on Motion Sickness in Autonomous Vehicles

作　　者：高振海[1] 金励辛 高菲[1] 赵睿[1] 张天瑶 Gao Zhenhai;Jin Lixin;Gao Fei;Zhao Rui;Zhang Tianyao(State Key Laboratory of Automotive Simulation and Control,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

出　　处：《汽车技术》2022年第8期1-9,共9页Automobile Technology

基　　金：国家自然科学基金项目(51775236);国家重点研发计划项目(2017YFB0102600);吉林省自然科学基金项目(20210101064JC)。

摘　　要：针对自动驾驶车辆较传统车辆更易诱发乘员晕动的问题,首先阐述了感觉冲突假说及自动驾驶车辆行驶时乘员晕动症的发生机理,然后对比分析了主观问卷评价和客观生理信号测量2类常用的自动驾驶车辆晕动症测量方法,并从人机交互设计与车辆状态控制2个角度出发介绍了感觉线索获取和运动算法优化2类自动驾驶车辆晕动症减缓方法,最后提出了当前研究的不足并从可量化的机理模型、统一的客观测量体系以及有效的算法优化方法3个方面对自动驾驶车辆晕动症研究的发展趋势进行了展望。For motion sickness which easily occurs more frequently in autonomous vehicle than traditional vehicle,this paper firstly introduced the sensory conflict hypothesis and the occurrence mechanism of motion sickness in autonomous vehicles,then compared and analyzed two measurement methods including subjective questionnaire evaluation and objective physiological signal measurement commonly used in motion sickness measurement of autonomous vehicles,in addition,the paper also elaborated introduced the mitigation methods of motion sickness in autonomous vehicles,including sensory cues acquisition and motion algorithm optimization from the perspectives of human-computer interaction design and vehicle state control.Finally,the paper pointed out the deficiency of the current research and the future development directions from quantifiable mechanism model,unified objective measurement system and effective algorithm optimization method.

关 键 词：自动驾驶 晕动症 感觉冲突 客观测量 运动算法优化 

分 类 号：U463.6[机械工程—车辆工程]