In one embodiment, a method for temporal smoothness in localization results for an
autonomous driving vehicle includes: creating a probability offset volume that represents an …

In one embodiment, a method for solution inference using neural networks in LiDAR
localization includes construct ing a cost volume in a solution space for a predicted pose of …

In one embodiment, a method for extracting point cloud features for use in localizing an
autonomous driving vehicle (ADV) includes selecting a first set of keypoints from an online …

Embodiments of the present disclosures disclose a method and a system to notify an
operator that perception sensors of an autonomous driving vehicle (ADV) need to be recali …

Aspects of the present disclosure involve systems, methods, and devices for autonomous
vehicle localization using a Lidar intensity map. A system is configured to generate a map …

In one embodiment, a system and method for point cloud registration of LIDAR poses of an
autonomous driving vehicle (ADV) is disclosed. The method selects poses of the point …

A method of localization for a non-transitory computer readable storage medium storing one
or more programs is disclosed. The one or more programs comprise instructions, which …

A method of localization for a non-transitory computer readable storage medium storing one
or more programs is disclosed. The one or more programs comprise instructions, which …

In one embodiment, a system receives a stream of frames of point clouds from one or more
LIDAR sensors of an ADV and corresponding poses in real-time. The system extracts …

(57) ABSTRACT A method of localization for a non-transitory computer readable storage
medium storing one or more programs is disclosed. The one or more programs comprise …