面向L3级自动驾驶的人机共融线控转向系统设计与控制方法研究

批准号:
52002213
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
赵洵
依托单位:
学科分类:
运载系统动力学
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
赵洵
国基评审专家1V1指导 中标率高出同行96.8%
结合最新热点,提供专业选题建议
深度指导申报书撰写,确保创新可行
指导项目中标800+,快速提高中标率
微信扫码咨询
中文摘要
L3级自动驾驶技术要求驾驶权可以在驾驶员(人)与自动驾驶系统(机)之间切换。安全的人机交互机制是其核心关键技术,而准确地量化识别驾驶意图是人机交互实现的基础。实际驾驶过程中,驾驶员的行为在瞬时具有随机性与不确定性,但在长时间跨度内具有统计规律。如何利用统计学工具深入挖掘驾驶员行为的特征与规律是量化识别驾驶意图的关键,也是目前尚未解决的难题。线控转向(SBW)系统是自动驾驶的重要执行器,也是人机交互的关键部件。因此,本项目提出了人机共融线控转向系统,利用方向盘力矩来量化识别驾驶意图,从而建立安全的人机交互机制。项目主要内容包括:1)设计满足ASIL-D级功能安全的SBW系统方案;2)研究驾驶意图量化识别方法和主动驾驶权切换方法;3)研究驾驶风险认知评估方法和被动驾驶权的切换方法;4)搭建SBW测试平台,形成迭代式研究过程。研究工作将为下一代SBW系统的研发与L3级自动驾驶技术提供理论支撑。
英文摘要
L3 level automatic driving technology requires that the driving control right be switched between the driver (human) and the automatic driving system (machine). Safe human-machine interaction mechanism is the key technology, and accurate recognition of driving intention is the basis of human-machine interaction. In the actual driving process, the driver's behavior is stochastic and uncertain in the instantaneous, but has statistical law in the long-time span. How to use statistical tools to mine the characteristics and laws of driver behavior deeply is important to identify driving intention quantitatively, but it is also an unsolved problem. Steering by wire (SBW) system is an important actuator of automatic driving, and a key part of human-machine interaction. Therefore, this project puts forward a human-machine-cooperative SBW system, which uses the steering wheel torque to quantify the driving intention, so as to establish a safe man-machine interaction mechanism. The main contents include: 1) a SBW system scheme meeting ASIL-D level functional safety will be designed; 2) methods of driving intention quantitative identification and active driving control right switching will be stutied; 3) methods of driving risk cognitive assessment and passive driving right switching will be studied; 4) SBW test platform will be built to realize iterative research process. The research work will provide theoretical support for the research and development of the next generation SBW system and L3 level automatic driving technology.
期刊论文列表
专著列表
科研奖励列表
会议论文列表
专利列表
DOI:10.1109/tte.2022.3193762
发表时间:2023-03
期刊:IEEE Transactions on Transportation Electrification
影响因子:7
作者:Chao Yang;Yipeng Gao;Weida Wang;Yuhang Zhang;Ying Li;Xiang-yu Wang;Xun Zhao
通讯作者:Chao Yang;Yipeng Gao;Weida Wang;Yuhang Zhang;Ying Li;Xiang-yu Wang;Xun Zhao
DOI:10.1109/tte.2023.3289140
发表时间:2024-03
期刊:IEEE Transactions on Transportation Electrification
影响因子:7
作者:Guowang Zhang;Xiang-yu Wang;Liang Li;Xun Zhao
通讯作者:Guowang Zhang;Xiang-yu Wang;Liang Li;Xun Zhao
DOI:--
发表时间:2022
期刊:机械工程学报
影响因子:--
作者:穆洪远;程硕;李凯;李亮;潘盼;赵洵
通讯作者:赵洵
DOI:10.1109/tii.2023.3329650
发表时间:2024-03
期刊:IEEE Transactions on Industrial Informatics
影响因子:12.3
作者:Yicai Liu;Guowang Zhang;Jian Li;Changyao Huang;Xiang-yu Wang;Liang Li;Xun Zhao
通讯作者:Yicai Liu;Guowang Zhang;Jian Li;Changyao Huang;Xiang-yu Wang;Liang Li;Xun Zhao
国内基金
海外基金
