FILTERING AND AGGREGATING DETECTION POINTS OF A RADAR POINT CLOUD FOR AN AUTONOMOUS VEHICLE

    公开(公告)号:US20230126749A1

    公开(公告)日:2023-04-27

    申请号:US17511968

    申请日:2021-10-27

    Abstract: A scan aggregator and filter for an autonomous vehicle includes a plurality of radar sensors, where each radar sensor performs a plurality of individual scans of a surrounding environment to obtain data in the form of a radar point cloud including a plurality of detection points. The scan aggregator and filter also includes an automated driving controller in electronic communication with the plurality of radar sensors. The automated driving controller is instructed to filter each of the individual scans to define a spatial region of interest and to remove the detection points of the radar point cloud that represent moving objects based on a first outlier-robust model estimation algorithm. The automated driving controller aggregates a predefined number of individual scans together based on a motion compensated aggregation technique to create an aggregated data scan and applies a plurality of density-based clustering algorithms to filter the aggregated data scan.

    Automated driving control systems and methods based on intersection complexity

    公开(公告)号:US11453417B2

    公开(公告)日:2022-09-27

    申请号:US17110788

    申请日:2020-12-03

    Abstract: An intersection navigation system includes: a complexity module configured to determine a complexity value for an intersection of two or more roads, where the complexity value for the intersection corresponds to a level of complexity for a vehicle to navigate the intersection during autonomous driving; and a driving control module configured to: during autonomous driving of a vehicle, control at least one of: steering of the vehicle; braking of the vehicle; and acceleration of the vehicle; and based on the complexity value of the intersection, selectively adjust at least one aspect of the autonomous driving.

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