Construction of �Driving Etiquette� database
| 项目名称： | Construction of �Driving Etiquette� database |
| 摘要： | The �Driving Etiquette� concept aims to establish statistics from large quantity of naturalistic driving data, and use the finding to ensure autonomous vehicles drive �like safe human drivers�. The motivation is from the observation that Google cars have been involved in 15 crashes over its first 1.4 million miles. This is about four times more frequent than human drivers� crash statistics. The project team hypothesizes that if highly autonomous vehicles behave more like �normal� human drivers, they can operate more seamlessly in the traffic, and the crash rate may improve. �Learning etiquette� involves collecting a large amount of video data, and use the data to train algorithms to learn about �what is appropriate�. |
| 状态： | Completed |
| 资金： | $57,793 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Center for Connected and Automated Transportation |
| 执行机构： | University of Michigan, Ann Arbor |
| 主要研究人员： | Peng, Huei |
| 开始时间： | 20170901 |
| 预计完成日期： | 20191231 |
| 实际结束时间： | 20200605 |
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