System and method for large-scale lane marking detection using multimodal sensor data
AssigneeTusimple, Inc.
InventorsXue MEI, Xiaodi HOU, Dazhou GUO, Yujie WEI
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Abstract
A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.
Claims20
A system comprising:
- a data processor;
- and
- a multimodal lane detection module, executable by the data processor, the multimodal lane detection module being configured to perform a multimodal lane detection operation configured to:
- receive image data from an image generating device mounted on a vehicle;
- receive point cloud data from a distance and intensity measuring device mounted on the vehicle;
- fuse the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data;
- and
- generate a lane marking map from the set of lane marking points.
A method comprising:
- receiving image data from an image generating device mounted on a vehicle;
- receiving point cloud data from a distance and intensity measuring device mounted on the vehicle;
- fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data;
- and
- generating a lane marking map from the set of lane marking points.
A non-transitory machine-useable storage medium embodying instructions which, when executed by a machine, cause the machine to:
- receive image data from an image generating device mounted on a vehicle;
- receive point cloud data from a distance and intensity measuring device mounted on the vehicle;
- fuse the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data;
- and
- generate a lane marking map from the set of lane marking points.
Dependencies are inferred from the claim text.