摘要
智能汽车对驾驶场景的感知能力直接影响到车辆的预期功能安全。为准确可靠地从感知层面进行场景评价,提出一种新的驾驶场景评价方法,该方法运用模糊推理,在分析场景和场景要素的基础上,首先,从驾驶人感知层面进行场景的模糊感知判断,建立场景模糊等级,利用模糊关系,建立场景要素间的联系;然后,按照决策函数计算场景的评价值;最后,验证该评价方法的合理性。结果表明:该方法可综合考虑驾驶人对场景的感知,更全面地认识场景,在场景评价应用方面具有可行性。
Safety of intended functionality of intelligent vehicles was directly affected by their sensing ability of driving scenarios.In order to evaluate scenarios accurately and reliably from a perceptual level,a new evaluation method was proposed.By using fuzzy reasoning and based on analysis of scenarios and elements,fuzzy judgment of scenarios was made from a perspective of drivers'perception,and their fuzzy level was established before correlation between scenario factors was developed by utilizing fuzzy relationship.Then,evaluation value was calculated according to decision function.In the end,rationality of the evaluation method was verified.The results show that this method could achieve a comprehensive understanding of scenarios by integrating driver's perception of them,thus proving to be feasible in scenario evaluation.
作者
罗崎瑞
张道文
周华
庞劭荣
李哓艳
王朝健
LUO Qirui;ZHANG Daowen;ZHOU Hua;PANG Shaorong;LI Xiaoyan;WANG Chaojian(School of Automobile and Transportation,Xihua University,Chengdu Sichuan 610039,China;Key Laboratory of Vehicle Measurement,Control and Safety of Sichuan Province,Chengdu Sichuan 610039,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2022年第8期140-145,共6页
China Safety Science Journal
基金
国家市场监督管理总局项目(202248)
四川省科技厅项目(212587)
四川省重点实验室课题(QCCK2021-011)
西华大学研究生创新基金资助(YCJJ2021152)。
关键词
智能汽车
预期功能安全
场景评价
模糊推理
自动驾驶
intelligent vehicle
safety of intended functionality
scenario evaluation
fuzzy reasoning
autonomous driving