Vehicle Turn Signal Detection
    2.
    发明申请

    公开(公告)号:US20170174261A1

    公开(公告)日:2017-06-22

    申请号:US14973454

    申请日:2015-12-17

    IPC分类号: B62D15/02 G05D1/02 B62D6/00

    摘要: Systems, methods, and devices for detecting a vehicle's turn signal status for collision avoidance during lane-switching maneuvers or otherwise. A method includes detecting, at a first vehicle, a presence of a second vehicle in an adjacent lane. The method includes identifying, in an image of the second vehicle, a sub-portion containing a turn signal indicator of the second vehicle. The method includes processing the sub-portion of the image to determine a state of the turn signal indicator. The method also includes notifying a driver or performing a driving maneuver, at the first vehicle, based on the state of the turn signal indicator.

    Distinguishing Lane Markings for a Vehicle to Follow

    公开(公告)号:US20170139417A1

    公开(公告)日:2017-05-18

    申请号:US14943573

    申请日:2015-11-17

    IPC分类号: G05D1/02 G06K9/00 B60W30/12

    摘要: The present invention extends to methods, systems, and computer program products for distinguishing lane markings for a vehicle to follow. Automated driving or driving assist vehicles utilize sensors to help the vehicle navigate on roadways or in parking areas. The sensors can utilize, for example, the painted surface markings to help guide the vehicle on its path. Aspects of the invention use a first type of sensor and at least a second different type of sensor to identify road surface markings. When ambiguity is detected between road surface markings, decision making algorithms identify the correct set of markings for a vehicle to abide by. The sensors also identify the location and trajectory of neighboring vehicles to increase confidence with respect to the identified road-surface markings.

    Vehicle turn signal detection
    4.
    发明授权

    公开(公告)号:US10800455B2

    公开(公告)日:2020-10-13

    申请号:US14973454

    申请日:2015-12-17

    摘要: Systems, methods, and devices for detecting a vehicle's turn signal status for collision avoidance during lane-switching maneuvers or otherwise. A method includes detecting, at a first vehicle, a presence of a second vehicle in an adjacent lane. The method includes identifying, in an image of the second vehicle, a sub-portion containing a turn signal indicator of the second vehicle. The method includes processing the sub-portion of the image to determine a state of the turn signal indicator. The method also includes notifying a driver or performing a driving maneuver, at the first vehicle, based on the state of the turn signal indicator.

    Distinguishing lane markings for a vehicle to follow

    公开(公告)号:US10048691B2

    公开(公告)日:2018-08-14

    申请号:US15724093

    申请日:2017-10-03

    摘要: The present invention extends to methods, systems, and computer program products for distinguishing roadway surface lane markings for a vehicle to follow. Automated driving or driving assist vehicles utilize sensors to help the vehicle navigate on roadways or in parking areas. The sensors can utilize, for example, the painted surface markings to help guide the vehicle on its path. When ambiguity is detected between roadway surface markings, decision making algorithms identify a set of roadway surface markings for a vehicle to abide by. The sensors can also identify the location and trajectory of neighboring vehicles to increase confidence with respect to an identified set of roadway surface markings.

    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

    IPC分类号: G06K9/00 B60W40/08 G06T7/20

    摘要: 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.