DETECTING AND RESOLVING INFORMATION CONTRADICTIONS FOR A VEHICLE

    公开(公告)号:US20240166223A1

    公开(公告)日:2024-05-23

    申请号:US18057461

    申请日:2022-11-21

    IPC分类号: B60W50/06 B60W50/02 G05B13/02

    摘要: A system for resolving information contradictions in information received by a vehicle includes a plurality of vehicle sensors for receiving the information and a controller in electrical communication with the plurality of vehicle sensors. The controller is programmed to receive a first piece of information from a first of the plurality of vehicle sensors and receive a second piece of information from a second of the plurality of vehicle sensors. The controller is further programmed to determine a contradiction status between the first piece of information and the second piece of information. The controller is further programmed to resolve a contradiction between the first piece of information and the second piece of information using a third piece of information from a third of the plurality of vehicle sensors in response to determining that the contradiction status is a contradicting status.

    METHOD AND SYSTEM FOR VALIDATING AUTONOMOUS VEHICLE PERFORMANCE USING NEARBY TRAFFIC PATTERNS

    公开(公告)号:US20230343210A1

    公开(公告)日:2023-10-26

    申请号:US17725814

    申请日:2022-04-21

    IPC分类号: G08G1/01

    摘要: A method for validating an autonomous vehicle performance using nearby traffic patterns includes receiving remote vehicle data. The remote vehicle data includes at least one remote-vehicle motion parameter about a movement of a plurality of remote vehicles during a predetermined time interval. The method further includes determining a traffic pattern of the plurality of remote vehicles using the at least one remote-vehicle motion parameter. The method includes determining a similarity between the traffic pattern of the plurality of remote vehicles and movements of the host vehicle. Further, the method includes determining whether the similarity between the traffic pattern of the plurality of remote vehicles and movements of the host vehicle is less than a predetermined threshold. Also, the method includes commanding the host vehicle to adjust the movements thereof to match the traffic pattern of the plurality of remote vehicles.

    SYSTEMS AND METHODS TO COMMUNICATE AN INTENDED VEHICLE MANEUVER

    公开(公告)号:US20210146827A1

    公开(公告)日:2021-05-20

    申请号:US16689780

    申请日:2019-11-20

    摘要: An exemplary automotive vehicle includes a first actuator configured to control acceleration and braking of the automotive vehicle, a second actuator configured to control steering of the automotive vehicle, a vehicle sensor configured to generate data regarding the presence, location, classification, and path of detected features in a vicinity of the automotive vehicle and a controller in communication with the vehicle sensor, and the first and second actuators. The controller is configured to selectively control the first and second actuators in an autonomous mode along a first trajectory according to an automated driving system. The controller is also configured to receive the data regarding the detected features from the vehicle sensor, determine a predicted vehicle maneuver from the data regarding the detected features, map the predicted vehicle maneuver with an indication symbol, and generate a control signal to display the indication symbol.

    Adversarial attack on black box object detection algorithm

    公开(公告)号:US10929719B2

    公开(公告)日:2021-02-23

    申请号:US16367590

    申请日:2019-03-28

    IPC分类号: G06K9/00 G06K9/62

    摘要: Systems and methods to generate an adversarial attack on a black box object detection algorithm of a sensor involve obtaining an initial training data set from the black box object detection algorithm. The black box object detection algorithm performs object detection on initial input data to provide black box object detection algorithm output that provides the initial training data set. A substitute model is trained with the initial training data set such that output from the substitute model replicates the black box object detection algorithm output that makes up the initial training data set. Details of operation of the black box object detection algorithm are unknown and details of operation of the substitute model are known. The substitute model is used to perform the adversarial attack. The adversarial attack refers to identifying adversarial input data for which the black box object detection algorithm will fail to perform accurate detection.

    IDENTIFICATION OF ATTENTION REGION FOR ENHANCEMENT OF SENSOR-BASED DETECTION IN A VEHICLE

    公开(公告)号:US20200311942A1

    公开(公告)日:2020-10-01

    申请号:US16367579

    申请日:2019-03-28

    摘要: Systems and methods to identify an attention region in sensor-based detection involve obtaining a detection result that indicates one or more detection areas where one or more objects of interest are detected. The detection result is based on using a first detection algorithm. The method includes obtaining a reference detection result that indicates one or more reference detection areas where one or more objects of interest are detected. The reference detection result is based on using a second detection algorithm. The method also includes identifying the attention region as one of the one or more reference detection areas without a corresponding one or more detection areas. The first detection algorithm is used to perform detection in the attention region.

    Control systems, control methods and controllers for an autonomous vehicle

    公开(公告)号:US10678253B2

    公开(公告)日:2020-06-09

    申请号:US15988658

    申请日:2018-05-24

    IPC分类号: G05D1/02 G01C21/20

    摘要: Systems and methods are provided for controlling an autonomous vehicle (AV). A map generator module processes sensor data to generate a world representation of a particular driving scenario (PDS). A scene understanding module (SUM) processes navigation route data, position information and a feature map to define an autonomous driving task (ADT), and decomposes the ADT into a sequence of sub-tasks. The SUM selects a particular combination of sensorimotor primitive modules (SPMs) to be enabled and executed for the PDS. Each one of the SPMs addresses a sub-task in the sequence. A primitive processor module executes the particular combination of the SPMs such that each generates a vehicle trajectory and speed (VTS) profile. A selected one of the VTS profiles is then processed to generate the control signals, which are then processed at a low-level controller to generate commands that control one or more of actuators of the AV.