Methods and apparatuses for vehicle wading safety

    公开(公告)号:US10452072B2

    公开(公告)日:2019-10-22

    申请号:US15605821

    申请日:2017-05-25

    Abstract: Techniques and examples pertaining to vehicle water wading safety are described. A processor implementable to a vehicle approaching a waterbody may receive data related to the waterbody from one or more above-water or under-water sensors. The processor may determine a top surface and a bottom profile of the waterbody, and calculate one or more critical trajectories of water-sensitive components of the vehicle if the vehicle is to wade through the waterbody by traversing the bottom profile. The processor may then determine the wading safety based on the critical trajectories and the top surface of the waterbody. The processor may further determine a wading route, and autonomously drive the vehicle to wade the waterbody via the optimal wading route.

    Detecting visibility of a vehicle to driver of other vehicles

    公开(公告)号:US10115025B2

    公开(公告)日:2018-10-30

    申请号:US15181263

    申请日:2016-06-13

    Abstract: Example blind spot detection systems and methods are described. In one implementation, a primary vehicle detects a secondary vehicle ahead of the primary vehicle in an adjacent lane of traffic. A method determines dimensions of the secondary vehicle and estimates a vehicle class associated with the secondary vehicle based on the dimensions of the secondary vehicle. The method also identifies a side-view mirror location on the secondary vehicle and determines a blind spot associated with the secondary vehicle based on the vehicle class and the side-view mirror location.

    Predicting Vehicle Movements Based on Driver Body Language

    公开(公告)号:US20180012093A1

    公开(公告)日:2018-01-11

    申请号:US15714594

    申请日:2017-09-25

    Abstract: Systems, methods, and devices for predicting driver intent and future movements of a human driven vehicles are disclosed herein. A computer implemented method includes receiving an image of a proximal vehicle in a region near a vehicle. The method includes determining a region of the image that contains a driver of the proximal vehicle, wherein determining the region comprises determining based on a location of one or more windows of the proximal vehicle. The method includes processing image data only in the region of the image that contains the driver of the proximal vehicle to detect a driver's body language.

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