Monotonic path tracking control for lane keeping and lane following

    公开(公告)号:US11987241B2

    公开(公告)日:2024-05-21

    申请号:US17078320

    申请日:2020-10-23

    CPC classification number: B60W30/12 B60W60/001 B60W2510/202 B60W2520/14

    Abstract: An autonomous vehicle and a system and method for operating the autonomous vehicle. The system includes a sensor and a processor. A disturbance force or yaw moment is received on the autonomous vehicle. The sensor measures a position of the autonomous vehicle within a lane of a road with respect to road boundaries and lane markings. The processor is configured to resist an effect of a disturbance force or yaw moment received on the autonomous vehicle. The processor minimizes a tracking error between a path of the autonomous vehicle and an initial track lane, wherein resisting the effect creates an inflection point in the path of the autonomous vehicle, establishes a final track lane at a closer of a lateral position of the inflection point and a lane center to the initial track lane, and tracks the path to the final track lane.

    METHODS, SYSTEMS, AND APPARATUSES FOR BEHAVIORAL BASED ADAPTIVE CRUISE CONTROL (ACC) TO DRIVER'S VEHICLE OPERATION STYLE

    公开(公告)号:US20220219695A1

    公开(公告)日:2022-07-14

    申请号:US17148815

    申请日:2021-01-14

    Abstract: In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for implementing adaptive cruise control (ACC) established by Reinforcement Learning (RL) including executing, by a processor, adaptive cruise control to receive a set of vehicle inputs about a host vehicle's operating environment and current operations; identify, by the processor, a target vehicle operating in the host vehicle environment and quantifying a set of target vehicle parameters about the target vehicle derived from sensed inputs; modeling a state estimation of the host vehicle and the target vehicle by generating a set of speed and torque calculations about each vehicle; generating a set of results from at least one reward function based on one or more modeled state estimations of the host and target vehicle; processing the set of results with driver behavior data established by RL to correlate one or more control actions to the driver behavior data.

    MONOTONIC PATH TRACKING CONTROL FOR LANE KEEPING AND LANE FOLLOWING

    公开(公告)号:US20220126823A1

    公开(公告)日:2022-04-28

    申请号:US17078320

    申请日:2020-10-23

    Abstract: An autonomous vehicle and a system and method for operating the autonomous vehicle. The system includes a sensor and a processor. A disturbance force or yaw moment is received on the autonomous vehicle. The sensor measures a position of the autonomous vehicle within a lane of a road with respect to road boundaries and lane markings. The processor is configured to resist an effect of a disturbance force or yaw moment received on the autonomous vehicle. The processor minimizes a tracking error between a path of the autonomous vehicle and an initial track lane, wherein resisting the effect creates an inflection point in the path of the autonomous vehicle, establishes a final track lane at a closer of a lateral position of the inflection point and a lane center to the initial track lane, and tracks the path to the final track lane.

    System and process for closest in path vehicle following using surrounding vehicles motion flow

    公开(公告)号:US11313693B2

    公开(公告)日:2022-04-26

    申请号:US16807749

    申请日:2020-03-03

    Abstract: A system for closest in path vehicle following using surrounding vehicles motion flow is provided and includes a sensor device of a host vehicle generating data related to vehicles upon a drivable surface. The system further includes a navigation controller including a computerized processor operable to monitor the data from the sensor device, define a portion of the plurality of vehicles as a swarm of vehicles, identify one of the plurality of vehicles as a closest in path vehicle to be followed, evaluate the data to determine whether the closest in path vehicle to be followed is exhibiting good behavior in relation to the swarm of vehicles, and, when the closest in path vehicle to be followed is exhibiting the good behavior, generate a breadcrumbing navigation path based upon the data. The system further includes a vehicle controller controlling the host vehicle based upon the breadcrumbing navigation path.

    QUALITY INDEX AND REAL-TIME FORWARD PROPAGATION OF VIRTUAL CONTROLS FOR SMART ENABLEMENT OF AUTOMATED DRIVING

    公开(公告)号:US20210284199A1

    公开(公告)日:2021-09-16

    申请号:US16814146

    申请日:2020-03-10

    Abstract: A system to enable an automobile vehicle automated driving control includes a quality index of an automated driving control system prior to enablement of an automated driving control function of an automobile vehicle. An adaptive forward propagation horizon and a prediction horizon for assessment of the quality index are computed. Vehicle states and road geometry are propagated over the adaptive forward propagation horizon, and the quality index is assessed based on forward propagated states over the prediction horizon. A first signal permits actuation of the automated driving control function of the automobile vehicle and a second signal precludes actuation of the automated driving control function. One of the first signal or the second signal is elected based on the results of assessing a quality control index trajectory over the adaptive forward propagation horizon.

    Tow-vehicle driving methods and systems for automated driving

    公开(公告)号:US12275436B2

    公开(公告)日:2025-04-15

    申请号:US17821829

    申请日:2022-08-24

    Abstract: Automated driver assistance systems and methods for towing predict vehicle/trailer instabilities and adapt automated driving control to avoid them. A tow-vehicle includes a controller that, through an actuator system, controls speed and/or steering. A map system and/or a sensor system monitor a roadway on which the vehicle is travelling to identify a road profile located ahead of the vehicle over a prediction horizon. A projected trajectory for navigating the vehicle through the road profile over the prediction horizon and considering environmental conditions is determined. Before travel over the road profile, whether the projected trajectory through the road profile will result in exceeding a vehicle dynamic threshold is determined. When the projected trajectory will result in exceeding the vehicle dynamic threshold through the road profile, a control action is determined to prevent instability and optimize driver experience. The vehicle is operated through the road profile using the control action.

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