- 专利标题: Object trajectory forecasting
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申请号: US17460776申请日: 2021-08-30
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公开(公告)号: US11887317B2公开(公告)日: 2024-01-30
- 发明人: Boris Ivanovic , Yifeng Lin , Shubham Shrivastava , Punarjay Chakravarty , Marco Pavone
- 申请人: Ford Global Technologies, LLC , The Board of Trustees of the Leland Stanford Junior University
- 申请人地址: US MI Dearborn
- 专利权人: Ford Global Technologies, LLC,The Board of Trustees of the Leland Stanford Junior University
- 当前专利权人: Ford Global Technologies, LLC,The Board of Trustees of the Leland Stanford Junior University
- 当前专利权人地址: US MI Dearborn; US CA Stanford
- 代理机构: Bejin Bieneman PLC
- 代理商 Frank A. Mackenzie
- 主分类号: G06T7/277
- IPC分类号: G06T7/277 ; G06T7/70 ; B60W10/18 ; B60W10/20 ; B60W10/04 ; G08G1/01 ; B60W40/04 ; G06N3/044 ; G06N3/045
摘要:
A plurality of agent locations can be determined at a plurality of time steps by inputting a plurality of images to a perception algorithm that inputs the plurality of images and outputs agent labels and the agent locations. A plurality of first uncertainties corresponding to the agent locations can be determined at the plurality of time steps by inputting the plurality of agent locations to a filter algorithm that inputs the agent locations and outputs the plurality of first uncertainties corresponding to the plurality of agent locations. A plurality of predicted agent trajectories and potential trajectories corresponding to the predicted agent trajectories can be determined by inputting the plurality of agent locations at the plurality of time steps and the first uncertainties corresponding to the agent locations at the plurality of time steps to a variational autoencoder. The plurality of predicted agent trajectories and the potential trajectories corresponding to the predicted agent trajectories can be output.
公开/授权文献
- US20230074293A1 OBJECT TRAJECTORY FORECASTING 公开/授权日:2023-03-09
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