Learning-based online mapping
AssigneeToyota Research Institute, Inc.
InventorsShunsho KAKU, Jeffrey Michael WALLS, Ryan WOLCOTT
Life of this patent
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Abstract
A method for an online mapping system includes localizing a location of an ego vehicle relative to an offline feature map. The method also includes querying surrounding features of the ego vehicle based on the offline feature map. The method further includes generating a probabilistic map regarding the surrounding features of the ego vehicle queried from the offline feature map.
Claims20
A method for an online mapping system, comprising:
- localizing a location of an ego vehicle relative to an offline feature map;
- querying surrounding features of the ego vehicle based on the offline feature map;
- and
- generating a probabilistic map regarding the surrounding features of the ego vehicle queried from the offline feature map.
A non-transitory computer-readable medium having program code recorded thereon for an online mapping system, the program code being executed by a processor and comprising:
- program code to localize a location of an ego vehicle relative to an offline feature map;
- program code to query surrounding features of the ego vehicle based on the offline feature map;
- and
- program code to generate a probabilistic map regarding the surrounding features of the ego vehicle queried from the offline feature map.
A system for online mapping, the system comprising:
- a localization module configured to localize a location of an ego vehicle relative to an offline feature map;
- a learned online mapping model train to query surrounding features of the ego vehicle based on the offline feature map;
- and
- a probabilistic map module configured to generate a probabilistic map regarding the surrounding features of the ego vehicle queried from the offline feature map.
Dependencies are inferred from the claim text.