ROAD SHOULDER-DETECTING SYSTEM AND TRANSPORTATION VEHICLE FOR MINING
    2.
    发明申请
    ROAD SHOULDER-DETECTING SYSTEM AND TRANSPORTATION VEHICLE FOR MINING 有权
    道路检测系统和运输车辆采矿

    公开(公告)号:US20170018188A1

    公开(公告)日:2017-01-19

    申请号:US15124107

    申请日:2015-03-04

    Abstract: To provide a road shoulder-detecting system which can accurately measure the orientation of a vehicle relative to a road shoulder and the distance to the road shoulder. The present invention includes road shoulder-detecting units 2a, 2b to scan a road surface A in front of a vehicle 1 in the traveling direction of the vehicle 1 and detect a road shoulder B located on the road surface A and a road shoulder-measuring device 21a to measure the orientation of the vehicle 1 relative to the road shoulder B detected by the road shoulder-detecting units 2a, 2b and the distance to the road shoulder B; and the two road shoulder-detecting units 2a, 2b are installed on the traveling direction side of the vehicle 1. The two road shoulder-detecting units 2a, 2b are installed in a higher position than the upper ends of front wheels d.

    Abstract translation: 提供一种可以精确地测量车辆相对于路肩的方位和与路肩的距离的路肩检测系统。 本发明包括在车辆1的行进方向上扫描车辆1前方的路面A的路肩检测单元2a,2b,并且检测位于路面A上的路肩B和路肩测量 装置21a,用于测量车道1相对于由路肩检测单元2a,2b检测到的道路肩部B的方向以及与路肩B的距离; 并且两个路肩检测单元2a,2b安装在车辆1的行进方向侧。两个路肩检测单元2a,2b安装在比前轮d的上端更高的位置。

    OFF-ROAD DUMP TRUCK AND OBSTACLE DISCRIMINATION DEVICE

    公开(公告)号:US20190250263A1

    公开(公告)日:2019-08-15

    申请号:US15774345

    申请日:2016-09-08

    Abstract: An off-road dump truck includes a vehicle body, a peripheral recognition device, and an obstacle discrimination device. The peripheral recognition device detects obstacle candidates in front of the vehicle body. The obstacle discrimination device classifies the obstacle candidates, which were detected by the peripheral recognition device, into obstacles and non-obstacles and outputs, as obstacles, the obstacle candidates classified as obstacles. The obstacle discrimination device includes a travel state determination section, a distance filter section, and a reflection intensity filter section. The travel state determination section determines whether each obstacle candidate is a moving object or a stationary object. The distance filter section compares a distance, where the stationary object was first detected, with a distance threshold. The reflection intensity filter section calculates statistical information based on reflection intensity information on the obstacle candidate, and based on a comparison result of the statistical information with a threshold, classifies the obstacle candidate.

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