Method and device for locating a vehicle in a surrounding area

    公开(公告)号:US12214805B2

    公开(公告)日:2025-02-04

    申请号:US17630646

    申请日:2020-07-27

    Abstract: The invention relates to a method for locating a vehicle (1) in a surrounding area, comprising the following steps: providing a primary sensor system (2, 34, 41, 52); providing a secondary sensor system (4, 35, 44, 56), the secondary system being configured in such a manner as to provide a backup to the primary system, the primary sensor system and the secondary sensor system being configured in such a manner as to completely control the vehicle; detecting environment data by means of the primary sensor system and the secondary sensor system; creating maps of the surroundings from the environment data from the primary sensor system and the secondary sensor system by means of a computer system; transferring the maps of the surroundings created from the primary sensor system and the maps of the surroundings created from the secondary sensor system to the computer system; generating at least one plausibility-checked primary sensor system sub-map and at least one plausibility-checked secondary sensor system sub-map by means of the computer system; transferring the plausibility-checked primary sensor system sub-map to the primary sensor system and transferring the plausibility-checked secondary sensor system sub-map to the secondary sensor system; locating the vehicle in the surrounding area by matching the environment data from the primary sensor system with the plausibility-checked primary sensor system sub-map and by matching the environment data from the secondary sensor system with the plausibility-checked secondary sensor system sub-map; comparing the location of the vehicle determined by the primary sensor system with the location of the vehicle determined by the secondary sensor system.

    METHOD FOR COMPUTATIONAL NOISE COMPENSATION, ULTRASOUND SENSOR SYSTEM, AND MOTOR VEHICLE

    公开(公告)号:US20250035783A1

    公开(公告)日:2025-01-30

    申请号:US18716140

    申请日:2022-11-30

    Inventor: Sylvio Salomon

    Abstract: A method is disclosed for computational noise compensation for an ultrasound sensor system. The method includes acquiring multiple reference signal representations at different points in time, storing the multiple reference signal representations, acquiring a measurement signal representation by emitting an ultrasound emission signal using the ultrasound sensor and receiving an ultrasonic reception signal using the same or the other ultrasound sensor, selecting one of the stored reference signal representations, and generating a noise-compensated measurement signal representation by subtracting the selected reference signal representation from the acquired measurement signal representation.

    Methods and Systems for Parking Zone Mapping and Vehicle Localization Using Mixed-Domain Neural Network

    公开(公告)号:US20250018969A1

    公开(公告)日:2025-01-16

    申请号:US18221097

    申请日:2023-07-12

    Abstract: Methods and systems for assisting a vehicle to park using mixed-domain image data. Image-domain data is generated based on raw image data received from a plurality of cameras mounted on a vehicle. The raw image data is associated with a parking zone outside the vehicle, and the image-domain data is generated by a feature-detection machine learning model. A bird's-eye-view (BEV) image is generated based on the raw image data, wherein the BEV image is a projected image of the parking zone. BEV-domain data associated with the BEV image is generated. The BEV-domain data includes data associated with parking landmarks in the parking zone. A computing system localizes the vehicle within the parking zone based on the BEV-domain data and the image-domain data to generate localization data. The computing system performs mapping of the parking zone based on the BEV-domain data, the image-domain data, and the localization data.

    SYSTEMS AND METHODS FOR DETECTING AVAILABLE PARKING SPOTS WITH OPTIONAL PULL-THROUGH PARKING SPOTS

    公开(公告)号:US20250018930A1

    公开(公告)日:2025-01-16

    申请号:US18221216

    申请日:2023-07-12

    Abstract: In some implementations, the device may include receiving, via one or more image sensors, one or more images of a parking area. In addition, the device may include determining, based on the one or more images, a first available parking spot. The device may include determining a second available parking spot adjacent to the first available parking spot, where the second available parking spot is a pull-through parking spot accessible by maneuvering through the first available parking spot. Moreover, the device may include displaying to a user, via a vehicle interface, the one or more images of the parking area, an indication of a location of the pull-through parking spot. Also, the device may include receiving, via the vehicle interface, a selection to park the vehicle in the pull-through parking spot. Further, the device may include parking the vehicle in the pull-through parking, where the parking is performed autonomously.

    Methods and systems for removing objects from view using machine learning

    公开(公告)号:US12183047B2

    公开(公告)日:2024-12-31

    申请号:US18048649

    申请日:2022-10-21

    Abstract: A method for generating an unobstructed bowl view of a vehicle that includes obtaining a plurality of images from a plurality of cameras disposed on the vehicle and determining a plurality of depth fields. The method further includes detecting a plurality of distorted objects in the plurality of images with a first machine-learned model that assigns a class distribution to the detected distorted object and estimating a distance of each distorted object from its associated camera using the plurality of depth fields. The method further includes assigning an object weight to each distorted object in the plurality of distorted objects and removing at least one distorted objects from the plurality of images. The method further includes replacing each of the at least one removed distorted objects with a representative background generated by a second machine-learned model and stitching and projecting the plurality of images to form the unobstructed bowl view.

    CALIBRATION OF A USER INPUT APPARATUS AND DETECTION OF ACTUATION OF A USER INPUT APPARATUS OF A MOTOR VEHICLE

    公开(公告)号:US20240416755A1

    公开(公告)日:2024-12-19

    申请号:US18695113

    申请日:2022-09-22

    Abstract: A a method for calibrating a user input apparatus for a motor vehicle is disclosed. The user input apparatus includes a component including a touch-sensitive surface and a reference element mechanically connected to the component, a circuit carrier, distance sensor, and an evaluation unit. The method includes determining, in a first calibration step, a first relationship between a change of the actuating force and a chance of the sensor signal, installing the user input apparatus in the motor vehicle in an installation step after carrying out the first calibration step, determining, in a second calibration step after carrying out the installation step, a first actual value of the sensor signal, and correcting the first relationship depending on the actual first value.

    METHOD, COMPUTER PROGRAMME PRODUCT, PARKING ASSISTANCE SYSTEM, AND VEHICLE

    公开(公告)号:US20240375714A1

    公开(公告)日:2024-11-14

    申请号:US18693698

    申请日:2022-09-22

    Abstract: A method for operating a parking assistance system for a vehicle is disclosed. The parking assistance system is configured to learn a manually traveled trajectory in a learning mode, and to automatically retrace the learned trajectory with the vehicle in a retracing mode. The learning mode includes receiving an inclination angle sensor signal from a sensor unit of the vehicle, ascertaining a curb at a specific position along the trajectory depending on the received inclination angle sensor signal. The retracing mode includes receiving an environmental sensor signal from an environment sensor unit of the vehicle, ascertaining the position of the obstacle on the learned trajectory depending on the received environmental sensor signal, and performing the retracing according to a first or second rule set depending on a comparison of the ascertained position and the position determined in the learning mode.

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