Invention Grant
- Patent Title: Determining localization confidence of vehicles based on convergence ranges
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Application No.: US16919150Application Date: 2020-07-02
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Publication No.: US11340082B2Publication Date: 2022-05-24
- Inventor: Mark Wheeler , Derik Schroeter
- Applicant: DeepMap Inc.
- Applicant Address: US CA Palo Alto
- Assignee: DeepMap Inc.
- Current Assignee: DeepMap Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Maschoff Brennan
- Main IPC: G01C21/32
- IPC: G01C21/32 ; G01C21/36 ; G06F16/29 ; B60W60/00 ; G01C21/30 ; G06V20/56 ; G05D1/00 ; G05D1/02

Abstract:
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.
Public/Granted literature
- US20210003403A1 DETERMINING LOCALIZATION CONFIDENCE OF VEHICLES BASED ON CONVERGENCE RANGES Public/Granted day:2021-01-07
Information query
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