Abstract: Embodiments of the disclosure provide systems and methods for identifying a curb based on 3-D sensor data. The system includes a communication interface configured to receive the 3-D sensor data captured of a scene by a sensor equipped on the vehicle as the vehicle travels along a trajectory. The system further includes a storage configured to store the 3-D sensor data. The system also includes at least one processor. The at least one processor is configured to create a 2-D mesh representation of the 3-D sensor data. The at least one processor is further configured to segment the 2-D mesh representation into a plurality of surfaces. The at least one processor is further configured to identify boundary mesh cells connecting each pair of adjacent surfaces wherein an altitude difference between the pair of adjacent surfaces is higher than a threshold and select mesh cells that align with a direction of the trajectory as corresponding to the curb.

Abstract: Embodiments of the disclosure provide systems and methods for positioning a vehicle. The system includes a communication interface configured to receive point cloud frames with respect to a scene and initial pose data of a vehicle captured by sensors equipped on the vehicle as the vehicle moves along a trajectory. The system also includes a storage configured to store the point cloud frames and the initial pose data. The system further includes a processor configured to estimate pose information of the vehicle associated with each of the point cloud frames based on the initial pose data and the point cloud frames. The processor is also configured to adjust the estimated pose information of the vehicle based on a model. The model includes a spatial relationship and a temporal relationship among the plurality of point cloud frames. The processor is further configured to position the vehicle based on the adjusted pose information.

Abstract: Embodiments of the disclosure provide systems and methods for positioning a vehicle. The system includes a communication interface configured to receive a point cloud with respect to a scene captured by a sensor equipped on the vehicle. The system further includes a storage configured to store the point cloud and a high definition map. The system also includes a processor. The processor is configured to create a first 3-D representation of the point cloud and create a second 3-D representation of the high definition map with respect to the scene. The processor is further configured to determine pose information of the vehicle by comparing the first 3-D representation and the second 3-D representation. The processor determines a position of the vehicle based on the pose information.

Abstract: Embodiments of the disclosure provide systems and methods for identifying a curb based on 3-D sensor data. The system includes a communication interface configured to receive the 3-D sensor data captured of a scene by a sensor equipped on the vehicle as the vehicle travels along a trajectory. The system further includes a storage configured to store the 3-D sensor data. The system also includes at least one processor. The at least one processor is configured to create a 2-D mesh representation of the 3-D sensor data. The at least one processor is further configured to segment the 2-D mesh representation into a plurality of surfaces. The at least one processor is further configured to identify boundary mesh cells connecting each pair of adjacent surfaces wherein an altitude difference between the pair of adjacent surfaces is higher than a threshold and select mesh cells that align with a direction of the trajectory as corresponding to the curb.

Abstract: Embodiments of the disclosure provide systems and methods for positioning a vehicle. The system includes a communication interface configured to receive a point cloud with respect to a scene captured by a sensor equipped on the vehicle. The system further includes a storage configured to store the point cloud and a high definition map. The system also includes a processor. The processor is configured to create a first 3-D representation of the point cloud and create a second 3-D representation of the high definition map with respect to the scene. The processor is further configured to determine pose information of the vehicle by comparing the first 3-D representation and the second 3-D representation. The processor determines a position of the vehicle based on the pose information.

Abstract: Embodiments of the disclosure provide systems and methods for positioning a vehicle. The system includes a communication interface configured to receive point cloud frames with respect to a scene and initial pose data of a vehicle captured by sensors equipped on the vehicle as the vehicle moves along a trajectory. The system also includes a storage configured to store the point cloud frames and the initial pose data. The system further includes a processor configured to estimate pose information of the vehicle associated with each of the point cloud frames based on the initial pose data and the point cloud frames. The processor is also configured to adjust the estimated pose information of the vehicle based on a model. The model includes a spatial relationship and a temporal relationship among the plurality of point cloud frames. The processor is further configured to position the vehicle based on the adjusted pose information.