- 专利标题: Method and system for determining road frictions of autonomous driving vehicles using learning-based model predictive control
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申请号: US15327036申请日: 2017-01-13
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公开(公告)号: US10407076B2公开(公告)日: 2019-09-10
- 发明人: Qi Luo , Fan Zhu , Sen Hu , Qi Kong , Xiang Yu , Zhenguang Zhu , Yuchang Pan , Wenli Yang , Guang Yang
- 申请人: Baidu USA LLC , Baidu.com Times Technology (Beijing) Co., Ltd.
- 申请人地址: US CA Sunnyvale
- 专利权人: BAIDU USA LLC
- 当前专利权人: BAIDU USA LLC
- 当前专利权人地址: US CA Sunnyvale
- 代理机构: Womble Bond Dickinson (US) LLP
- 国际申请: PCT/CN2017/071108 WO 20170113
- 国际公布: WO2018/129711 WO 20180719
- 主分类号: B60W40/06
- IPC分类号: B60W40/06 ; G01C21/34 ; G08G1/09 ; G05D1/00 ; B60W40/068 ; G08G1/0968 ; B60W50/00
摘要:
In one embodiment, planning data is received, for example, from a planning module, to drive an autonomous driving vehicle (ADV) from a starting location and a destination location. In response, a series of control commands are generated based on the planning data, where the control commands are to be applied at different points in time from the starting location to the destination location. A cost is calculated by applying a cost function to the control commands, a first road friction to be estimated in a current trip, and a second road friction estimated during a prior trip from the starting location to the destination location. The first road friction of the current trip is estimated using the cost function in view of a prior termination cost of the prior trip, such that the cost reaches minimum.