Method and device for lane-changing prediction of target vehicle

    公开(公告)号:US12236788B2

    公开(公告)日:2025-02-25

    申请号:US17748234

    申请日:2022-05-19

    Abstract: The invention relates to a method for lane-changing prediction of a target vehicle, the method including: receiving a velocity and a position of the target vehicle; respectively obtaining, based on the velocity and the position of the target vehicle, a first lane-changing probability and a second lane-changing probability of the target vehicle by using a first machine learning model and a second machine learning model; and determining a possibility of lane changing of the target vehicle based on the first lane-changing probability and the second lane-changing probability, the first machine learning model and the second machine learning model being pre-trained and being different from each other. The invention further relates to a device for lane-changing prediction of a target vehicle, a computer storage medium, and a vehicle.

    Calibration of time to collision threshold in low light conditions

    公开(公告)号:US12236786B2

    公开(公告)日:2025-02-25

    申请号:US17934716

    申请日:2022-09-23

    Abstract: A method of modifying a time to collision threshold includes receiving data and images of an object from image capturing devices and non-visual sensors within an automobile, from infrastructure cameras, and from image capturing devices within other automobiles, determining ambient light levels and color of the object, comparing ambient light levels to a pre-determined ambient light level threshold, determining a standard time to collision threshold, and sending the standard time to collision threshold to the collision avoidance system when ambient light levels are at least the pre-determined ambient light level, and, determining a standard time to collision threshold, a lighting coefficient, a color coefficient, applying the lighting and color coefficients to the standard time to collision threshold, calculating a modified time to collision threshold, sending the modified time to collision threshold to the collision avoidance system, when the ambient light levels are less than the pre-determined ambient light level threshold.

    OPERATION METHOD OF UE RELATED TO INTERACTIVE CROSSING IN V2X

    公开(公告)号:US20250061808A1

    公开(公告)日:2025-02-20

    申请号:US18706679

    申请日:2021-11-02

    Abstract: An embodiment relates to an operation method of a user equipment (UE) in a wireless communication system, the method comprising: receiving a crossing input from a pedestrian by the UE; configuring a predetermined area on a road on the basis of a position of the pedestrian; selecting a vehicle having a collision possibility when the pedestrian crosses, among vehicles within the predetermined area; transmitting, by the UE, a personal safety message (PSM) including information which relates to a crossing request of the pedestrian and is to be transmitted to one or more vehicles, on the basis of one or more selected vehicles; receiving a basic safety message (BSM) including a response to the crossing request and transmitted from each of the one or more vehicles; and displaying crossing request acceptance information on a display part by the UE, on the basis of the response.

    ADAPTIVE DRIVER LANE KEEPING ASSIST CONTROL

    公开(公告)号:US20250058830A1

    公开(公告)日:2025-02-20

    申请号:US18451278

    申请日:2023-08-17

    Abstract: A system includes a neural network module, a lane keeping assist (LKA) module, and a control module. The neural network module is configured to receive driver data, identify the driver, receive non-driver data, and generate a lane assist offset value specific to the identified driver based on the non-driver data and the driver data. The LKA module is configured to receive the lane assist offset value, receive vehicle data associated with one or more parameters of the vehicle while the vehicle is moving, the one or more parameters including a steering angle, a velocity, and a vehicle position between lane markings, and generate a steering angle control signal based on the received lane assist offset value and vehicle data. The control module is configured to control steering of the vehicle based on the generated steering angle control signal. Other example systems and methods are also disclosed.

    SELECTIVELY VISUALIZING SAFETY MARGINS

    公开(公告)号:US20250058770A1

    公开(公告)日:2025-02-20

    申请号:US18451749

    申请日:2023-08-17

    Abstract: Aspects presented herein may enable a UE (e.g., a vehicle, an autonomous vehicle, an on-board unit (OBU) of a vehicle, an advanced driver assistance systems (ADAS) of a vehicle) to calculate and output safety margins for objects around the UE or a vehicle. In one aspect, a UE receives or transmits a request to provide safety margin visualization assistance. The UE obtains, in response to the request, an indication of a safety margin associated with an object based on a distance between the UE and the object and at least one of: a size of the object, a speed of the object, a location of the object, a type of the object, a direction of the object, or a movement pattern of the object. The UE outputs the safety margin associated with the object.

    Injury severity estimation by using in-vehicle perception

    公开(公告)号:US12230402B2

    公开(公告)日:2025-02-18

    申请号:US17471182

    申请日:2021-09-10

    Abstract: A monitoring system may include a memory having computer-readable instructions stored thereon and a processor operatively coupled to the memory. The processor may read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive, prior to a collision involving a vehicle, sensor data representative of a feature of an internal environment and determine the collision has occurred. The operations may include automatically instruct, based on the collision, a sensor to generate another sensor data representative of another feature of the internal environment. The operations may include receive the another sensor data from the sensor and compare the sensor data and the another sensor data to accident data corresponding to previous accidents. The accident data may include a diagnosed injury and an accident severity of each of the previous accidents. The operations may include determine a severity of the collision based on the comparison.

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