Scenario aware perception system for an automated vehicle

    公开(公告)号:US10895879B2

    公开(公告)日:2021-01-19

    申请号:US16137495

    申请日:2018-09-20

    Abstract: A scenario aware perception system (10) suitable for use on an automated vehicle includes a traffic-scenario detector (14), an object-detection device (24), and a controller (32). The traffic-scenario detector (14) is used to detect a present-scenario (16) experienced by a host-vehicle (12). The object-detection device (24) is used to detect an object (26) proximate to the host-vehicle (12). The controller (32) is in communication with the traffic-scenario detector (14) and the object-detection device (24). The controller (32) configured to determine a preferred-algorithm (36) used to identify the object (26). The preferred-algorithm (36) is determined based on the present-scenario (16).

    SCENARIO AWARE PERCEPTION SYSTEM FOR AN AUTOMATED VEHICLE

    公开(公告)号:US20190025835A1

    公开(公告)日:2019-01-24

    申请号:US16137495

    申请日:2018-09-20

    Abstract: A scenario aware perception system (10) suitable for use on an automated vehicle includes a traffic-scenario detector (14), an object-detection device (24), and a controller (32). The traffic-scenario detector (14) is used to detect a present-scenario (16) experienced by a host-vehicle (12). The object-detection device (24) is used to detect an object (26) proximate to the host-vehicle (12). The controller (32) is in communication with the traffic-scenario detector (14) and the object-detection device (24). The controller (32) configured to determine a preferred-algorithm (36) used to identify the object (26). The preferred-algorithm (36) is determined based on the present-scenario (16).

    LIDAR SENSOR ALIGNMENT SYSTEM
    13.
    发明申请

    公开(公告)号:US20190004160A1

    公开(公告)日:2019-01-03

    申请号:US15638577

    申请日:2017-06-30

    Abstract: A Light Detection and Ranging (LiDAR) sensor alignment system includes first and second LiDAR sensors, and a controller. The first and second LiDAR sensors are each configured to monitor respective first and second regions and output respective first and second LiDAR signals associated with the regions. The controller is configured to receive the signals, recognize a target detected by both the first and second LiDAR sensors, utilize a first coordinate map associated with the first region to determine a first mapped location of the target, utilize a second coordinate map associated with the second region to determine a second mapped location of the target, and associate the first and second mapped locations to determine if the first and second LiDAR sensors are aligned.

    Motion-characteristic based object classification for automated vehicle

    公开(公告)号:US10114375B1

    公开(公告)日:2018-10-30

    申请号:US15480520

    申请日:2017-04-06

    Abstract: An object-classification system for an automated vehicle includes an object-detector and a controller. The object-detector may be a camera, radar, lidar or any combination thereof. The object-detector detects an object proximate to a host-vehicle. The controller is in communication with the object-detector. The controller is configured to determine a density of the object based on a motion-characteristic of the object caused by air-movement proximate to the object, and operate the host-vehicle to avoid striking the object with the host-vehicle when the density of the object is classified as dense.

    Automated vehicle sensor control system

    公开(公告)号:US10025311B2

    公开(公告)日:2018-07-17

    申请号:US15336942

    申请日:2016-10-28

    Abstract: A sensor-control system for operating an automated vehicle includes a first sensor, a second sensor, and a controller. The first sensor is used to detect objects proximate to a host-vehicle. The first sensor is characterized by a first-sensing-technology. The second sensor is used to detect objects proximate to the host-vehicle. The second sensor is characterized by a second-sensing-technology different from the first-sensing-technology. The controller is in communication with the first sensor and the second sensor. A location of an object detected by the first-sensor is used to select a field-of-view of the second-sensor.

    INTERSECTION CROSS-WALK NAVIGATION SYSTEM FOR AUTOMATED VEHICLES

    公开(公告)号:US20170336795A1

    公开(公告)日:2017-11-23

    申请号:US15160655

    申请日:2016-05-20

    Abstract: A crosswalk navigation system for operating an automated vehicle in an intersection includes an intersection-detector, a pedestrian-detector, and a controller. The intersection-detector is suitable for use on a host-vehicle. The intersection-detector is used to determine when the host-vehicle is proximate to an intersection and determine when the intersection includes a cross-walk. The pedestrian-detector is suitable for use on the host-vehicle. The pedestrian-detector is used to determine a motion-vector of a pedestrian relative to the cross-walk. The controller is in communication with the intersection-detector and the pedestrian-detector. The controller is configured to determine a travel-path of the host-vehicle through the intersection, determine when the pedestrian will pass through an intersect-location where the travel-path intersects the cross-walk based on the motion-vector, and operate the host-vehicle to enter the intersection before the pedestrian passes through the intersect-location and to arrive at the intersect-location after the pedestrian passes through the intersect-location.

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