• 专利标题: DETERMINING LOCALIZATION CONFIDENCE OF VEHICLES BASED ON CONVERGENCE RANGES
  • 申请号: US16919150
    申请日: 2020-07-02
  • 公开(公告)号: US20210003403A1
    公开(公告)日: 2021-01-07
  • 发明人: Mark WheelerDerik Schroeter
  • 申请人: DeepMap Inc.
  • 申请人地址: US CA Palo Alto
  • 专利权人: DeepMap Inc.
  • 当前专利权人: DeepMap Inc.
  • 当前专利权人地址: US CA Palo Alto
  • 主分类号: G01C21/30
  • IPC分类号: G01C21/30
DETERMINING LOCALIZATION CONFIDENCE OF VEHICLES BASED ON CONVERGENCE RANGES
摘要:
According to an aspect of an embodiment, operations may comprise for each of the set of geographic X-positions, accessing an HD map of a geographical region surrounding the geographic X-position, determining a convergence range for the geographic X-position, and storing the convergence range for the geographic X-position in the HD map. The operations may also comprise accessing the HD map, predicting a next geographic X-position of a target vehicle, predicting a covariance of the predicted next geographic X-position, accessing the convergence range for the geographic X-position in the HD map closest to the predicted next geographic X-position, estimating a current geographic X-position of the target vehicle by performing a localization algorithm, and determining a confidence value for the estimated current geographic X-position of the target vehicle based on the predicted next geographic X-position, the predicted covariance, and the accessed convergence range.
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