SYSTEM AND METHOD FOR CONTROLLING A VEHICLE BASED ON AN ANTICIPATED LANE DEPARTURE

    公开(公告)号:US20190389470A1

    公开(公告)日:2019-12-26

    申请号:US16015532

    申请日:2018-06-22

    Abstract: An automotive vehicle includes at least one sensor configured to detect a lane marking proximate the vehicle, and to detect velocity, acceleration, and yaw rate of the vehicle. The vehicle also includes a controller in communication with the at least one sensor and configured to selectively control a steering intervention system in a first mode and a second mode. The controller is configured to calculate a plurality of lane departure estimations at a corresponding plurality of time instances, arbitrate among the plurality of lane departure estimations to calculate a predictive time to lane departure, calculate a lane departure confidence value associated with the predictive time to lane departure, and, in response to the confidence value exceeding a first threshold and the predictive time to lane departure being below a second threshold, control the steering intervention system in the second mode.

    SYSTEMS AND METHODS FOR ESTIMATING VEHICLE PARAMETERS

    公开(公告)号:US20250018943A1

    公开(公告)日:2025-01-16

    申请号:US18351048

    申请日:2023-07-12

    Abstract: Methods and systems are provided for estimating vehicle parameters of a vehicle. A maximum desired vehicle acceleration and a minimum excitation acceleration in a first direction are determined. The minimum excitation acceleration is associated with generating an estimated vehicle parameter. A first control input for transmission to an advanced driver assistance system (ADAS) to apply a temporary excitation acceleration that is greater than the minimum excitation acceleration and less than the maximum desired vehicle acceleration is generated. The estimated vehicle parameter is generated using a vehicle parameter estimation observation model based on vehicle data received from at least one vehicle sensor. The vehicle data is generated in response to the application of the temporary excitation acceleration to the vehicle. The estimated vehicle parameter is transmitted to the ADAS of the vehicle for replacement of a previous vehicle parameter at the ADAS with the estimated vehicle parameter.

    VEHICLE SYSTEMS AND METHODS FOR PROBABILISTIC MANEUVER PREDICTION

    公开(公告)号:US20240409090A1

    公开(公告)日:2024-12-12

    申请号:US18333351

    申请日:2023-06-12

    Abstract: Vehicles and related systems and methods are provided for predicting a future maneuver expected to be executed by a driver. One method involves determining a combined probability for a potential maneuver based on constituent probabilities corresponding to different vehicle state variables, and environmental conditions using one or more tuning parameters specific to the respective combination of maneuver and vehicle state variable, determining an adjusted probability for the potential maneuver based at least in part on the combined probability and one or more contextual state variables corresponding to a current operating context for the vehicle, adapted to driver behavior and driving style, identifying the potential maneuver as an expected maneuver to be executed by a driver of the vehicle based on the adjusted probability, and automatically initiating one or more actions in a manner that is influenced by the expected maneuver.

    VEHICLE CONTROL ADAPTATION TO SUSTAINED WIND LEVELS AND GUSTS

    公开(公告)号:US20240300576A1

    公开(公告)日:2024-09-12

    申请号:US18181276

    申请日:2023-03-09

    CPC classification number: B62D6/008 G01P5/00

    Abstract: A system and method for a vehicle control adaptation to a crosswind and a wind gust including a controller situated within a vehicle to receive wind data inputs. The wind data inputs are based on a location of the vehicle and include a sustained wind velocity, a sustained wind direction, and a wind gust level. The controller further receives vehicle measurement data from one or more sensors situated within the vehicle and determines a wind impact on the vehicle based on the wind data inputs and the vehicle measurement data. The controller further compensates for the wind impact by a feedforward control in response to a low bandwidth component of the wind data inputs and by a feedback control in response to a high bandwidth component of the wind data inputs. The controller generates a feedback and/or a control based on the wind impact.

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