COLLABORATIVE ESTIMATION AND CORRECTION OF LIDAR BORESIGHT ALIGNMENT ERROR AND HOST VEHICLE LOCALIZATION ERROR

    公开(公告)号:US20220390607A1

    公开(公告)日:2022-12-08

    申请号:US17339626

    申请日:2021-06-04

    Abstract: A LIDAR-to-vehicle alignment system includes a memory and an autonomous driving module. The memory stores points of data provided based on an output of a LIDAR sensor and GPS locations. The autonomous driving module performs an alignment process including performing feature extraction on the points of data to detect one or more features of one or more predetermined types of objects having one or more predetermined characteristics. The features are determined to correspond to one or more targets because the features have the predetermined characteristics. One or more of the GPS locations are of the targets. The alignment process further includes: determining ground-truth positions of the features; correcting the GPS locations based on the ground-truth positions; calculating a LIDAR-to-vehicle transform based on the corrected GPS locations; and based on results of the alignment process, determining whether one or more alignment conditions are satisfied.

    Systems and methods for diagnosing perception systems of vehicles based on temporal continuity of sensor data

    公开(公告)号:US11436876B2

    公开(公告)日:2022-09-06

    申请号:US16671345

    申请日:2019-11-01

    Abstract: A comparing module receives first data regarding surroundings of a vehicle from a plurality of sensors in the vehicle, receives second data regarding the surroundings from the plurality of sensors after receiving the first data, compares the first data to the second data, and determines a first difference between the first data and the second data based on the comparison of the first data to the second data. A perception module generates a first set of perception results based on the first data, generates a second set of perception results based on the second data, and determines a second difference between the first data and the second data based on the first set of perception results and the second set of perception results. A diagnostics module determines whether one of the sensors or the perception module is faulty based on a combination of the first difference and the second difference.

    DYNAMIC LIDAR ALIGNMENT
    33.
    发明申请

    公开(公告)号:US20210373138A1

    公开(公告)日:2021-12-02

    申请号:US16887397

    申请日:2020-05-29

    Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: recording, by a controller onboard the vehicle, lidar data from the lidar device while the vehicle is travelling on a straight road; determining, by the controller, that the vehicle is travelling straight on the straight road; detecting, by the controller, straight lane marks on the straight road; computing, by the controller, lidar boresight parameters based on the straight lane marks; calibrating, by the controller, the lidar device based on the lidar boresight parameters; and controlling, by the controller, the vehicle based on data from the calibrated lidar device.

    Method and apparatus to monitor an on-vehicle fluidic subsystem

    公开(公告)号:US10672205B2

    公开(公告)日:2020-06-02

    申请号:US15830262

    申请日:2017-12-04

    Abstract: A vehicle including a fluidic subsystem composed of an electric motor, a motor driver and a fluidic pump that is disposed in a fluidic circuit of the vehicle is described. A controller includes an instruction set that is executable to determine operating parameters associated with the fluidic subsystem, and determine a plurality of power efficiency parameters for the fluidic subsystem based upon the operating parameters. The power efficiency parameters include a hydraulic power efficiency, an electro-mechanical power efficiency and an electric power efficiency. The controller can determine a state of health for the fluidic subsystem based upon the power efficiency parameters, and detect a fault in the fluidic subsystem when the state of health is less than a threshold state of health. The fault can be communicated to a vehicle operator.

    VEHICLE PERCEPTION SYSTEM ON-LINE DIANOSTICS AND PROGNOSTICS

    公开(公告)号:US20200094848A1

    公开(公告)日:2020-03-26

    申请号:US16139782

    申请日:2018-09-24

    Abstract: A method of on-line diagnostic and prognostic assessment of an autonomous vehicle perception system includes detecting, via a sensor, a physical parameter of an object external to the vehicle. The method also includes communicating data representing the physical parameter via the sensor to an electronic controller. The method additionally includes comparing the data from the sensor to data representing the physical parameter generated by a geo-source model. The method also includes comparing results generated by a perception software during analysis of the data from the sensor to labels representing the physical parameter from the geo-source model. Furthermore, the method includes generating a prognostic assessment of a ground truth for the physical parameter of the object using the comparisons of the sensor data to the geo-source model data and of the software results to the geo-source model labels. A system for on-line assessment of the vehicle perception system is also disclosed.

    On-vehicle camera alignment monitoring system

    公开(公告)号:US12106518B2

    公开(公告)日:2024-10-01

    申请号:US17567371

    申请日:2022-01-03

    Abstract: A system for on-vehicle camera alignment monitoring includes an on-vehicle camera in communication with a controller. The controller monitors vehicle operating parameters and camera signal parameters, and captures an image file from the on-vehicle camera. A first level analysis of the image file, the vehicle operating parameters, and the camera signal parameters is executed to detect dynamic conditions and image feature parameters that affect camera alignment. An error with one of the dynamic conditions or the image feature parameters that affects the camera alignment is detected. A second level analysis of the camera signal parameters is executed to identify a root cause indicating one of the dynamic conditions or the image feature parameters that affects the camera alignment based upon the error. A camera alignment-related fault is detected based upon the root cause, and vehicle operation is controlled based upon the camera alignment-related fault.

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