ENVIRONMENT SENSING SYSTEM AND MOVABLE PLATFORM

    公开(公告)号:US20210255329A1

    公开(公告)日:2021-08-19

    申请号:US17239522

    申请日:2021-04-23

    Abstract: The present disclosure provides an environment sensing system. The sensing system includes a laser detection module, the laser detection module including a first laser module, a second laser module, a third laser module, and a fourth laser module, a field of view (FOV) angle of each laser module being less than or equal to 120°. The first laser module and the second laser module are disposed on a front side of a movable platform to detect an area in front of the movable platform, the FOVs of the first laser module and the second laser module partially overlap. The third laser module and the fourth laser module are respectively disposed on both sides of the movable platform to detect a front left area and a front right area of the movable platform.

    OBSTACLE DETECTION METHOD, MOBILE PLATFORM, AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20200349727A1

    公开(公告)日:2020-11-05

    申请号:US16935790

    申请日:2020-07-22

    Abstract: The present disclosure provides an obstacle detection method. The method includes acquiring a first type of grid including obstacle indication information; determining a corresponding project position of the first type of grid in a first depth image; acquiring a first distance between a mobile platform and the corresponding projection position and a second distance between the mobile platform and an obstacle, the obstacle being the obstacle detected based on the first depth image; and updating the obstacle indication information of the first type of grid based on the first distance and the second distance.

    LOCAL SENSING BASED AUTONOMOUS NAVIGATION, AND ASSOCIATED SYSTEMS AND METHODS

    公开(公告)号:US20210365038A1

    公开(公告)日:2021-11-25

    申请号:US17395785

    申请日:2021-08-06

    Inventor: Lu MA Shaojie SHEN

    Abstract: Local sensing based navigation maps can form a basis for autonomous navigation of a mobile platform. An example method includes obtaining real-time environment information that indicates an environment within a proximity of the mobile platform based on first sensor(s) carried by the mobile platform, detecting navigation features based on sensor data obtained from the first sensor(s) or second sensor(s) carried by the mobile platform, integrating information corresponding to the navigation features with the environment information to generate a local navigation map, and generating navigation command(s) for controlling a motion of the mobile platform based on the local navigation map.

    SENSING ASSEMBLY FOR AUTONOMOUS DRIVING

    公开(公告)号:US20210318444A1

    公开(公告)日:2021-10-14

    申请号:US17353779

    申请日:2021-06-21

    Inventor: Wei LI Lu MA

    Abstract: An autonomous driving assembly for a vehicle includes a plurality of lidar groups supported by a vehicle body of the vehicle and collectively configured to detect a periphery region in proximity to the vehicle body. Different ones of the plurality of lidar groups are supported at different areas of the vehicle body and have different group fields of view. At least two of the different group fields of view overlap with each other. Each of the plurality lidar groups includes a plurality of lidar units fixed at a same location. Different ones of the plurality of lidar units have different unit fields of view. At least two of the different unit fields of view overlap with each other.

    MULTI-OBJECT TRACKING BASED ON LIDAR POINT CLOUD

    公开(公告)号:US20200057160A1

    公开(公告)日:2020-02-20

    申请号:US16664331

    申请日:2019-10-25

    Inventor: Chen LI Lu MA

    Abstract: A light detection and ranging (LIDAR) based object tracking system includes a plurality of light emitter and sensor pairs and an object tracker. Each pair of the plurality of light emitter and sensor pairs is operable to obtain data indicative of actual locations of surrounding objects. The data is grouped into a plurality of groups by a segmentation module. Each group corresponds to one of the surrounding objects. The object tracker is configured to (1) build a plurality of models of target objects based on the plurality of groups, (2) compute a motion estimation for each of the target objects, and (3) feed a subset of data back to the segmentation module for further grouping based on a determination by the object tracker that the subset of data fails to map to a corresponding target object in the model.

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