METHODS AND SYSTEMS FOR CAMERA TO GROUND ALIGNMENT

    公开(公告)号:US20230256975A1

    公开(公告)日:2023-08-17

    申请号:US17651406

    申请日:2022-02-16

    CPC classification number: B60W40/10 G06V20/58 B60W2420/42 B60W2552/53

    Abstract: Systems and methods for a vehicle are provided. In one embodiment, a method includes: receiving image data defining a plurality of images associated with an environment of the vehicle; receiving vehicle data indicating a velocity of the vehicle, wherein the vehicle data is associated with the image data; determining, by a processor, feature points within at least one image based on the vehicle data and a three dimensional projection method; selecting, by the processor, a subset of the feature points as ground points; determining, by the processor, a ground plane based on the subset of feature points; determining, by the processor, a ground normal vector from the ground plane; determining, by the processor, a camera to ground alignment value based on the ground normal vector; and generating, by the processor, second image data based on the camera to ground alignment value.

    SYSTEM FOR GUIDING AN AUTONOMOUS VEHICLE BY A TOWING TAXI

    公开(公告)号:US20230082897A1

    公开(公告)日:2023-03-16

    申请号:US17471323

    申请日:2021-09-10

    Abstract: An autonomous driving system for an autonomous vehicle includes an automated driving controller wirelessly connected to a towing taxi. The automated driving controller determines the autonomous driving system is non-functional. In response to determining the autonomous driving system is non-functional, the automated driving controller generates a notification indicating the autonomous driving system is non-functional. The automated driving controller receives, from the towing taxi, a current data string including a data point corresponding to a current point in time in combination with a predicted data point for each of one or more predicted points of time in the future. The current data string is compared with a previous data string recorded at a previous point in time. In response to determining the current data string matches the previous data string, the automated driving controller determines one or more driving maneuvers for the autonomous vehicle based on the current data string.

    IDENTIFICATION OF PLANAR POINTS IN LIDAR POINT CLOUD OBTAINED WITH VEHICLE LIDAR SYSTEM

    公开(公告)号:US20230059883A1

    公开(公告)日:2023-02-23

    申请号:US17408758

    申请日:2021-08-23

    Abstract: A system in a vehicle includes a lidar system to transmit incident light and receive reflections from one or more objects as a point cloud of points. The system also includes processing circuitry to identify feature points among the points of the point cloud, the feature points being horizontal feature points reflected from a horizontal surface or vertical feature points reflected from a vertical surface. The processing circuitry processes the point cloud by obtaining a normal vector corresponding to each of the points of the point cloud. The normal vector includes a first component associated with a first dimension, a second component associated with a second dimension, and a third component associated with a third dimension.

    Systems and methods for collaboration between autonomous vehicles

    公开(公告)号:US10481600B2

    公开(公告)日:2019-11-19

    申请号:US15705394

    申请日:2017-09-15

    Abstract: Systems and method are provided for collaboration between autonomous vehicles. In one embodiment, a processor-implemented method for coordinating travel between multiple autonomous vehicles is provided. The method includes sending a collaboration request to one or more vehicles in an area to form a group to perform a mission, receiving an acceptance of the collaboration request to join the group wherein the group includes a plurality of vehicles, cooperating in assigning leading functions for the group to one or more of the plurality of vehicles in the group, cooperating in mission negotiations for the group, cooperating in determining a formation for the group, and cooperating in generating a trajectory for the group. The vehicles in the group are operated in accordance with the determined formation and generated trajectory.

    METHOD AND APPARATUS FOR AUTOMATED MAINTENANCE SCHEDULING OF AN AUTONOMOUS VEHICLE

    公开(公告)号:US20190066398A1

    公开(公告)日:2019-02-28

    申请号:US15688422

    申请日:2017-08-28

    Abstract: A method and associated device for automated maintenance scheduling for an autonomous vehicle includes monitoring a state of health (SOH) of an on-vehicle subsystem and monitoring an appointment log associated with a vehicle operator. Upon detecting a change in the SOH of the on-vehicle subsystem, the method includes communicating with a service center to determine a recommended maintenance action associated with the change in the SOH of the on-vehicle subsystem and to determine a proposed service appointment for the autonomous vehicle to effect the recommended maintenance action. The proposed service appointment is coordinated with the appointment log, and verified with the vehicle operator. A service appointment is scheduled based upon the proposed service appointment when verified by the vehicle operator. The appointment log is updated to include the service appointment.

    CAMERA TO VEHICLE ALIGNMENT WITH MULTIPLE CAMERA ADJUSTMENT

    公开(公告)号:US20240273741A1

    公开(公告)日:2024-08-15

    申请号:US18169081

    申请日:2023-02-14

    Abstract: A vehicle includes a system that performs a method for aligning a first camera and a second camera to a reference frame of the vehicle. The first camera has a first coordinate system, and the second camera has a second coordinate system. The first camera obtains a first image. The processor is configured to obtain a first camera-to-ground transformation matrix for the first camera using the first image, wherein the first camera-to-ground transformation matrix relates the first coordinate system to a ground coordinate system, obtain a camera-to-camera transformation matrix between the first coordinate system of the first camera and the second coordinate system of the second camera, calculate a constructed camera-to-ground transformation matrix for the second camera using the first camera-to-ground transformation matrix and the camera-to-camera transformation matrix, and update the second coordinate system of the second camera using the constructed camera-to-ground transformation.

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