Closed lane detection
    2.
    发明授权

    公开(公告)号:US11694447B2

    公开(公告)日:2023-07-04

    申请号:US17408816

    申请日:2021-08-23

    Applicant: Zoox, Inc.

    CPC classification number: G06V20/588 G06V20/58 G06V20/582

    Abstract: Techniques are described for detecting whether a lane of a roadway is open or closed. Detecting a lane as being closed may include detecting an object in or near the lane, which may comprise determining a size, location, and/or classification associated with the object, and dilating the size associated with the object. The lane may be indicated as being closed if a distance between a dilated object detection and another object detection, dilated object detection, or lane extent is less than a threshold distance. The techniques may additionally or alternatively comprise determining an alternative lane shape based at least in part on one or more object detections and/or determining that one or more lanes are closed and/or uploading a lane closure and/or alternative lane shape to a central database for retrieval by/dissemination to other computing devices.

    Multi-attention machine learning for object detection and classification

    公开(公告)号:US12299997B1

    公开(公告)日:2025-05-13

    申请号:US17952604

    申请日:2022-09-26

    Applicant: Zoox, Inc.

    Abstract: Techniques for detecting, locating, and/or classifying objects based on multiple sensor data inputs received from different sensor modalities. The techniques may include receiving sensor data generated by different sensor modalities of a vehicle, the sensor data including at least first sensor data generated by a first sensor modality and second sensor data generated by a second sensor modality. In some examples, the sensor data may be input into a machine-learning pipeline. The machine-learning pipeline may be configured to determine locations of objects in an environment surrounding the vehicle based at least in part on a correlation, by the multi-attention component, of the first sensor data and the second sensor data. The techniques may also include receiving, from the machine-learning pipeline, an output indicating a location of an object in the environment.

    OBJECT BOUNDING CONTOURS BASED ON IMAGE DATA

    公开(公告)号:US20250022284A1

    公开(公告)日:2025-01-16

    申请号:US18750796

    申请日:2024-06-21

    Applicant: Zoox, Inc.

    Abstract: Techniques are discussed herein for controlling autonomous vehicles within a driving environment, including generating and using bounding contours associated with objects detected in the environment. Image data may be captured and analyzed to identify and/or classify objects within the environment. Image-based and/or lidar-based techniques may be used to determine depth data associated with the objects, and a bounding contour may be determined based on the object boundaries and associated depth data. An autonomous vehicle may use the bounding contours of objects within the environment to classify the objects, predict the positions, poses, and trajectories of the objects, and determine trajectories and perform other vehicle control actions while safely navigating the environment.

    TRACKING OBJECTS USING SENSOR DATA SEGMENTATIONS AND/OR REPRESENTATIONS

    公开(公告)号:US20220101020A1

    公开(公告)日:2022-03-31

    申请号:US17549756

    申请日:2021-12-13

    Applicant: Zoox, Inc.

    Abstract: Techniques are disclosed for tracking objects in sensor data, such as multiple images or multiple LIDAR clouds. The techniques may include comparing segmentations of sensor data such as by, for example, determining a similarity of a first segmentation of first sensor data and a second segmentation of second sensor data. Comparing the similarity may comprise determining a first embedding associated with the first segmentation and a second embedding associated with the second segmentation and determining a distance between the first embedding and the second embedding. The techniques may improve the accuracy and/or safety of systems integrating the techniques discussed herein.

    CLOSED LANE DETECTION
    6.
    发明申请

    公开(公告)号:US20200372262A1

    公开(公告)日:2020-11-26

    申请号:US16417441

    申请日:2019-05-20

    Applicant: Zoox, Inc.

    Abstract: Techniques are described for detecting whether a lane of a roadway is open or closed. Detecting a lane as being closed may include detecting an object in or near the lane, which may comprise determining a size, location, and/or classification associated with the object, and dilating the size associated with the object. The lane may be indicated as being closed if a distance between a dilated object detection and another object detection, dilated object detection, or lane extent is less than a threshold distance. The techniques may additionally or alternatively comprise determining an alternative lane shape based at least in part on one or more object detections and/or determining that one or more lanes are closed and/or uploading a lane closure and/or alternative lane shape to a central database for retrieval by/dissemination to other computing devices.

    Tracking objects using sensor data segmentations and/or representations

    公开(公告)号:US11200429B1

    公开(公告)日:2021-12-14

    申请号:US16235862

    申请日:2018-12-28

    Applicant: Zoox, Inc.

    Abstract: Techniques are disclosed for tracking objects in sensor data, such as multiple images or multiple LIDAR clouds. The techniques may include comparing segmentations of sensor data such as by, for example, determining a similarity of a first segmentation of first sensor data and a second segmentation of second sensor data. Comparing the similarity may comprise determining a first embedding associated with the first segmentation and a second embedding associated with the second segmentation and determining a distance between the first embedding and the second embedding. The techniques may improve the accuracy and/or safety of systems integrating the techniques discussed herein.

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