Using cameras for detecting objects near a vehicle

    公开(公告)号:US10852741B2

    公开(公告)日:2020-12-01

    申请号:US15610412

    申请日:2017-05-31

    Abstract: A method for autonomously controlling a vehicle is disclosed. In some examples, a vehicle can maneuver out of a parking space in an autonomous and unmanned operation. While parking, the vehicle can capture first one or more images of its surroundings and store the images in a memory included in the vehicle. Upon starting up, the vehicle can capture second one or more images of its surroundings and compare them to the first one or more images to determine if there is an object, person, or animal proximate to the vehicle, for example. In some examples, in accordance with a determination that there is no object, person, or vehicle present that was not present during parking, the vehicle can autonomously move from the parking space with or without a user present in the vehicle.

    System and method for ground and free-space detection

    公开(公告)号:US10705220B2

    公开(公告)日:2020-07-07

    申请号:US15957886

    申请日:2018-04-19

    Abstract: Improved processing of sensor data (e.g., LiDAR data) can be used to distinguish between free space and objects/hazards. Autonomous vehicles can use such information for performing autonomous driving and/or parking operations. LiDAR data can include a plurality of range measurements (e.g., forming a 3D point cloud). Each of the range measurements can correspond to a respective LiDAR channel and azimuth angle. The processing of LiDAR data can include identifying one or more paths as candidate ground paths based on one or more path criteria. The processing of LiDAR data can also include identifying one or more of the plurality of range measurements as ground points or non-ground points based on the one or more paths identified as candidate ground paths and based on one or more point criteria.

    USING POSITION ESTIMATE ERROR BOUNDS FOR SAFE VEHICLE NAVIGATION

    公开(公告)号:US20180292832A1

    公开(公告)日:2018-10-11

    申请号:US15610415

    申请日:2017-05-31

    Abstract: A system that performs a method is disclosed. The system receives information about a map, which includes information about one or more zones in the map. While navigating a vehicle along a driving path within the map, the system receives information about the location of the vehicle in the map. The system estimates an error bounds of the location of the vehicle, and determines in which of the one or more zones in the map the error bounds is located within. In response to the determination: in accordance with a determination that the error bounds is located within a first zone in the map, the system causes the vehicle to perform a driving operation. In accordance with a determination that the error bounds is located within a second zone of the one or more zones in the map, the system causes the vehicle to perform a different driving operation.

    Methods and systems for camera-based autonomous parking

    公开(公告)号:US10025317B2

    公开(公告)日:2018-07-17

    申请号:US15620665

    申请日:2017-06-12

    Abstract: Camera-based autonomous parking is disclosed. An autonomous parking procedure can include detecting parking lines in images captured by a camera on a vehicle. The vehicle can be localized with respect to the parking lines based on location data for the vehicle from a GPS receiver and a location determination for the vehicle based on detected ends of the parking lines. The vehicle can further determine an occupancy state of one or more parking spaces formed by the two or more parking lines using a range sensor on the vehicle and select an empty space. A region of interest including the selected space can be identified and one or more parking lines of the selected space can be detected in an image of the region of interest. The vehicle can autonomously move to reduce errors between the location of the vehicle and the final parking position within the selected space.

    System and method for lidar-based vehicular localization relating to autonomous navigation

    公开(公告)号:US11294060B2

    公开(公告)日:2022-04-05

    申请号:US15956623

    申请日:2018-04-18

    Abstract: A system for use in a vehicle, the system comprising one or more sensors, one or more processors operatively coupled to the one or more sensors, and a memory including instructions, which when executed by the one or more processors, cause the one or more processors to perform a method. The method comprising capturing a current point cloud with the one or more sensors, determining an estimated location and an estimated heading of the vehicle, selecting one or more point clouds based on the estimated location and heading of the vehicle, simplifying the current point cloud and the one or more point clouds, correlating the current point cloud to the one or more point clouds, and determining an updated estimate of the location of the vehicle based on correlation between the current point cloud and the one or more point clouds.

    SYSTEM AND METHOD FOR DETECTING OCCLUDED OBJECTS BASED ON IMAGE PROCESSING

    公开(公告)号:US20220004196A1

    公开(公告)日:2022-01-06

    申请号:US17477047

    申请日:2021-09-16

    Inventor: Aziz Umit Batur

    Abstract: The present invention is related to systems and methods for detecting an occluded object based on the shadow of the occluded object. In some examples, a vehicle of the present invention can capture one or more images while operating in an autonomous driving mode, and detecting shadow items within the captured image. In response to detecting a shadow item moving towards the direction of vehicle travel, the vehicle can reduce its speed to avoid a collision, should an occluded object enter the road. The shadow can be detected using image segmentation or a classifier trained using convolutional neural networks or another suitable algorithm, for example.

    System and method for detecting occluded objects based on image processing

    公开(公告)号:US11126195B2

    公开(公告)日:2021-09-21

    申请号:US16006532

    申请日:2018-06-12

    Inventor: Aziz Umit Batur

    Abstract: The present invention is related to systems and methods for detecting an occluded object based on the shadow of the occluded object. In some examples, a vehicle of the present invention can capture one or more images while operating in an autonomous driving mode, and detecting shadow items within the captured image. In response to detecting a shadow item moving towards the direction of vehicle travel, the vehicle can reduce its speed to avoid a collision, should an occluded object enter the road. The shadow can be detected using image segmentation or a classifier trained using convolutional neural networks or another suitable algorithm, for example.

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