文章摘要
姜立军,张泽权,李哲林.自动驾驶接管中的分层振动警示设计研究[J].包装工程,2020,41(2):44-49.
自动驾驶接管中的分层振动警示设计研究
Layered Vibration Warning of Take-over Requests for Automated Driving
投稿时间:2019-09-30  修订日期:2020-01-20
DOI:10.19554/j.cnki.1001-3563.2020.02.007
中文关键词: 自动驾驶  接管系统  触觉显示  分层警示
英文关键词: automatic driving  take-over system  tactile display  layered warning
基金项目:
作者单位
姜立军 华南理工大学广州 510006 
张泽权 华南理工大学广州 510006 
李哲林 华南理工大学广州 510006 
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中文摘要:
      目的 驾驶员在自动驾驶系统遇到无法处理的交通情况时需要尽快恢复情景意识,进行驾驶操控权的接管,由于自动驾驶中驾驶员将更多的从事驾驶次任务,需要进行有效的自动驾驶接管信息提示设计,降低认知负荷,提高接管绩效,改善驾驶体验。方法 触觉显示是在视听通道失效的情况下,获取驾驶情景信息的有效方式。基于自主开发的触觉坐垫,研究分层振动警示接管策略对情景意识恢复和用户体验的影响。实验共有24名被试,每个被试将进行单层级、双层级和三层级接管实验。被试在接收到振动警示后,需要中止当前的非驾驶相关任务,接管汽车的控制,并躲过风险情境。结论 实验结果表明,相对于单层级振动警示,多层振动警示能提高接管绩效,尤其在高负荷道路和低负荷道路中。三层级振动警示的综合评价最高,但同时也带来了额外的认知负荷。
英文摘要:
      When the automatic driving system is unable to deal with the traffic situation, the driver needs to resume the control of the vehicle to restore the situational awareness as soon as possible. During automatic driving, the driver is more engaged in subtask of driving. It is required to design the information prompt of taking over automatic driving, to reduce cognitive load, promote takeover performance and improve the driving experience. The tactile display is a supplement to the information acquisition mode when the audio-visual channel fails. Based on the developed tactile cushion, the effects of layered vibration warning takeover strategy on situational awareness recovery and user experience were studied. There were 24 subjects in the experiment, each of whom would carry out single-level, double-level and three- level takeover experiments. After receiving the vibration warning, the subjects needed to stop the current non-driving related tasks, take over the control of the vehicle and avoid the risk situation. The experimental results show that compared with single-level vibration warning, multi-level vibration warning can improve takeover performance, especially in high- load and low-load roads. The comprehensive evaluation of three-level vibration warning is the highest, but it also brings additional cognitive load.
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