会议专题

A DECISION-MAKING METHOD FOR UNMANNED CARS BASED ON DRIVABLE AREA CUTTING

  Unmanned cars developing involves at least three major sections:environment perception,decision-making and subsequent vehicle control.Whereas the first and the latter have proven almost-solved problems,decision-making is considered to be the most important and difficult section in unmanned cars.In fact,no matter normal or unmanned cars,to ensure their safety,appropriate decision must be made timely by either human driver or computer.In this article,we present a decision-making method based on drivable area cutting.We considered the most common elements in actual driving process including traffic signs,traffic lights,pedestrians,vehicles and even other vehicles lights and horns to cut drivable area.We name it safe area for this cut-drivable area.Then decision is made based on the safe area.Experiment results show that our method works well in the highway and can be used in different environment with little change.

Unmanned car Decision-making Drivable area cutting Safe area

Mu Guo Youchun Xu Yongjin Zhang Wen He Guisheng Chen Tianlei Zhang Lifeng An Minghui Lv

Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China Department of Automotive Engineering,Military Transportation Institute,Tianjin 300161,China Institue of China electronic system engineering,Beijing 100084,China

国际会议

2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

杭州

英文

1660-1665

2012-10-30(万方平台首次上网日期,不代表论文的发表时间)