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公开(公告)号:US10189426B2
公开(公告)日:2019-01-29
申请号:US15411061
申请日:2017-01-20
Inventor: Zhao Zhang , Jian Ouyang , Jing Wang , Peng Wu , Liang Gao , Yupeng Li
IPC: G06F1/08 , G05D1/00 , G06F1/32 , B60L11/18 , B60R16/023
Abstract: The present application discloses a method and apparatus for operating a field-programmable gate array (FPGA) board in a driverless vehicle. The method according to a specific embodiment includes: collecting driving scenario information on a driving scenario of the driverless vehicle; determining, based on the driving scenario information, a speed at which the driverless vehicle executes a computing operation in the driving scenario; comparing the speed with a speed threshold; switching a working mode of the FPGA board in the driverless vehicle executing the computing operation to reduce power consumption of the FPGA board, in response to the speed being lower than the speed threshold. This embodiment implements the adaptive adjustment of the working mode of the FPGA board, thereby reducing the overall power consumption.
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公开(公告)号:US09889856B1
公开(公告)日:2018-02-13
申请号:US15429334
申请日:2017-02-10
Inventor: Zhao Zhang
CPC classification number: B60W40/08 , B60W2400/00 , B60W2420/42 , B60W2540/22 , G05D1/0088 , G05D1/0214 , G05D2201/0212 , G06K9/00845
Abstract: The present application discloses a method and apparatus for controlling an unmanned vehicle. The method may comprise: collecting image information and vital sign information of a person in an unmanned vehicle, and origin information and destination information of the unmanned vehicle; generating action characteristic information of the person based on the image information; generating emotional characteristic information and physical state information of the person based on the action characteristic information and the vital sign information; determining a route and an operation mode of the unmanned vehicle based on the emotional characteristic information, the physical state information, the origin information and the destination information; and controlling the unmanned vehicle based on the determined route and operation mode. The implementation achieves automatic control of an unmanned vehicle based on the emotion and physical state of a person in the unmanned vehicle.
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