Tusimple, Inc.

Bolun Zhang

Yi Wang

Ke Xu

Yi Luo

Nan Yu

Systems and methods for updating navigational maps based using at least one sensor are provided. In one aspect, a control system for an autonomous vehicle, includes a processor and a computer-readable memory configured to cause the processor to: receive output from at least one sensor located on the autonomous vehicle indicative of a driving environment of the autonomous vehicle, retrieve a navigational map used for driving the autonomous vehicle, and detect one or more inconsistencies between the output of the at least one sensor and the navigational map. The computer-readable memory is further configured to cause the processor to: in response to detecting the one or more inconsistencies, trigger mapping of the driving environment based on the output of the at least one sensor, update the navigational map based on the mapped driving environment, and drive the autonomous vehicle using the updated navigational map.

Systems and methods for updating navigational maps

A method of aligning optical axes of cameras for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform by one or more autonomous vehicle driving modules execution of processing of images using the following steps comprising: disposing a planar pattern that is viewable to a set of cameras; recovering boundary corner points of the planar pattern from a pair of images; constructing a pair of parallel lines based on 2D positions of the recovered boundary corner points; and determining an intersection point of the pair of parallel lines to be a vanishing point in a pixel coordinate.

Vanishing point computation and online alignment system and method for image guided stereo camera optical axes alignment

A method of aligning optical axes of cameras for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform by one or more autonomous vehicle driving modules execution of processing of images using the following steps comprising: calibrating intrinsic parameters of a set of cameras; extracting corner points associated with a pattern; and computing a vanishing point based on information on the extracted corner points.

Corner point extraction system and method for image guided stereo camera optical axes alignment

A system for generating a ground truth dataset for motion planning is disclosed. The system includes sensors for data acquisition for motion planning of a vehicle, the sensors including a LiDAR; a calculating module configured to calculate LiDAR poses in response to data from the sensors and generate undistorted LiDAR scans; an extracting module configured to extract static points from a target undistorted LiDAR scan and generate a LiDAR static-scene point cloud; and a generating module configured to generate sparse image point correspondences for each pair of images, using the LiDAR static-scene point cloud.

Sensor calibration and time system for ground truth static scene sparse flow generation

A method of generating a ground truth dataset for motion planning is disclosed. The method includes performing data alignment, collecting data in an environment, using sensors, calculating, among other sensors, light detecting and ranging (LiDAR)'s poses, stitching multiple LiDAR scans to form a local map, refining positions in the local map based on a matching algorithm, and projecting 3D points in the local map onto corresponding images.

Growing community of inventors

San Diego, CA, United States of America

Bolun Zhang