首页> 外文会议>Coat international conference of transportation professionals >Study on Autonomous Vehicles' Bio-Inspired Decision-Making under Complex Dynamics Environments
【24h】

Study on Autonomous Vehicles' Bio-Inspired Decision-Making under Complex Dynamics Environments

机译:复杂动力学环境下无人驾驶汽车的生物启发决策研究

获取原文
获取外文期刊封面目录资料

摘要

To relieve the stress on drivers and reduce the risk of accidents, researchers have carried out a lot of research work on autonomous vehicles. One of the key issues of autonomous vehicles research is to apply cognitive science and knowledge (including the bionics, Rough Set theory or fuzzy mathematics) to study the driver tactical level decision-making process based on multi-sensor information fusion. The algorithm of bio-inspired cognitive and decision making under complex dynamic environment has been established. The results show that the drivers' experience knowledge about uncertainty can be effectively expressed, and the driving tactical level decision-making can be simulated and confirmed.
机译:为了减轻驾驶员的压力并减少发生事故的风险,研究人员对自动驾驶汽车进行了大量研究工作。自动驾驶汽车研究的关键问题之一是运用认知科学和知识(包括仿生学,粗糙集理论或模糊数学)来研究基于多传感器信息融合的驾驶员战术水平决策过程。建立了复杂动态环境下的生物启发式认知与决策算法。结果表明,可以有效地表达驾驶员对不确定性的经验知识,可以对驾驶员的战术水平决策进行仿真和确认。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号