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    COLLISION-AVOIDANCE SYSTEM FOR AUTONOMOUS-CAPABLE VEHICLES
    1.
    发明公开
    COLLISION-AVOIDANCE SYSTEM FOR AUTONOMOUS-CAPABLE VEHICLES 审中-公开

    公开(公告)号：EP3418841A1

    公开(公告)日：2018-12-26

    申请号：EP18179306.8

    申请日：2018-06-22

    申请人： Uber Technologies, Inc.

    发明人： Gray, Andrew

    IPC分类号： G05D1/00 ,  G06K9/00 ,  B60W30/09 ,  G08G1/16

    CPC分类号： G05D1/0248 ,  B60W30/09 ,  G05D1/0077 ,  G05D1/0088 ,  G05D2201/0213 ,  G06K9/00805 ,  G06K9/6263 ,  G06K9/6269 ,  G06K9/6277 ,  G06K9/6292 ,  G08G1/165 ,  G08G1/166

    摘要： A collision-avoidance system for use with an autonomous-capable vehicle can continuously receive image frames captured of the roadway to determine drivable space in a forward direction of the vehicle. The system can determine, for each image frame, whether individual regions of the image frame depict drivable space. The system can do so using machine-learned image recognition algorithms such as convolutional neural networks generated using extensive training data. Using such techniques, the system can label regions of the image frames as corresponding to drivable space or non-drivable space. By analyzing the labeled image frames, the system can determine whether the vehicle is likely to impact a region of non-drivable space. And, in response to such a determination, the system can generate control signals that override other control systems or human operator input to control the brakes, the steering, or other sub-systems of the vehicle to avoid the collision.

    IMAGE ANALYSIS DEVICE, IMAGE ANALYSIS METHOD, AND COMPUTER-READABLE MEDIUM
    5.
    发明公开
    IMAGE ANALYSIS DEVICE, IMAGE ANALYSIS METHOD, AND COMPUTER-READABLE MEDIUM 审中-公开

    公开(公告)号：EP3410344A1

    公开(公告)日：2018-12-05

    申请号：EP18161166.6

    申请日：2018-03-12

    申请人： KABUSHIKI KAISHA TOSHIBA

    发明人： PHAM, Quoc Viet

    IPC分类号： G06K9/00 ,  G06K9/46 ,  G06T7/11 ,  G06K9/34

    CPC分类号： G06K9/726 ,  G06K9/00805 ,  G06K9/342 ,  G06K9/4628 ,  G06K9/6256 ,  G06K9/6262 ,  G06K9/627

    摘要： According to an arrangement, an image analysis device (10) includes a feature amount calculation unit (14), a context calculation unit (16), a shape calculation unit (20), a correction unit (24), and an output unit (26). The feature amount calculation unit (14) is configured to calculate a feature map of a target image. The context calculation unit (16) is configured to calculate context score information representing context of each pixel on the basis of the feature map. The shape calculation unit (20) is configured to calculate shape score information representing a shape of an object in at least one region in the target image on the basis of the feature map. The correction unit (24) is configured to correct the shape score information in the at least one region using the context score information. The output unit (26) is configured to output the corrected shape score information.

    A METHOD TO DETECT NEARBY AGGRESSIVE DRIVERS AND ADJUST DRIVING MODES
    8.
    发明授权
    A METHOD TO DETECT NEARBY AGGRESSIVE DRIVERS AND ADJUST DRIVING MODES 有权

    公开(公告)号：EP2958783B1

    公开(公告)日：2018-10-24

    申请号：EP14754191.6

    申请日：2014-01-16

    申请人： WAYMO LLC

    发明人： DROZ, Pierre-Yves ,  ZHU, Jiajun

    IPC分类号： B60W30/00 ,  B60W30/08 ,  B60W40/02 ,  B60R21/00

    CPC分类号： G08G1/161 ,  B60W50/0098 ,  B60W2050/0075 ,  B60W2420/42 ,  B60W2550/308 ,  G01S17/936 ,  G06K9/00805 ,  G08G1/015 ,  G08G1/166

    摘要： A computing device may be configured to receive sensor information indicative of respective characteristics of vehicles on a road of travel of a first vehicle. The computing device may be configured to identify, based on the respective characteristics, a second vehicle that exhibits an aggressive driving behavior manifested as an unsafe or unlawful driving action. Also, based on the respective characteristics, the computing device may be configured to determine a type of the second vehicle. The computing device may be configured to estimate a distance between the first vehicle and the second vehicle. The computing device may be configured to modify a control strategy of the first vehicle, based on the aggressive driving behavior of the second vehicle, the type of the second vehicle, and the distance between the first vehicle and the second vehicle; and control the first vehicle based on the modified control strategy.