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公开(公告)号:US20240326694A1
公开(公告)日:2024-10-03
申请号:US18532002
申请日:2023-12-07
Applicant: VIA Technologies, Inc.
Inventor: Benjamin Yarming Pan , Chaochin CHANG , Chohan WU
IPC: B60R1/22 , B60W50/00 , B60W50/14 , G01S7/40 , G01S13/931
CPC classification number: B60R1/22 , B60W50/0097 , B60W50/14 , G01S7/40 , G01S13/931 , B60R2300/202 , B60R2300/802 , B60W2050/0083 , B60W2050/146 , B60W2300/12 , B60W2420/403 , B60W2420/408 , G01S2013/9315
Abstract: In one embodiment, a blind spot detection system for a vehicle, the system comprising: one or more sensors configured to detect vehicle movements; a memory comprising instructions; and a controller configured by the instructions to: predict an impending sharp turn of the vehicle based on receiving a signal or signals from the one or more sensors; adjust a detection range from a first setting based on the prediction; and return to the first setting of the detection range upon termination of a sharp turn by the vehicle.
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公开(公告)号:US20230186506A1
公开(公告)日:2023-06-15
申请号:US17699467
申请日:2022-03-21
Applicant: VIA Technologies, Inc.
Inventor: Chaochin CHANG , JinBo YIN , Juan HE
Abstract: There is provided an object detection device and an object detection method. The processor of the object detection device defines respective overall image areas of a plurality of first sensed images from a plurality of original sensed images as first regions of interest; the processor defines respective partial image areas of a plurality of second sensed images from the plurality of original sensed images as second regions of interest, and crops out a plurality of third sensed images; the processor inputs the plurality of first sensed images and the plurality of third sensed images to a deep neural network learning model, so that the deep neural network learning model outputs image information of a target object image in the plurality of first sensed images and the plurality of third sensed images, respectively. By this, a function of detecting an object in front with high reliability is provided by means of image detection.
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