In the paper, the YOLOv3 target detection algorithm is integrated with binocular ranging method and applied to the UAV.It can not only detect whether there is an object in front of the UAV, but also identify and classify the object, and measure the distance of the target object.This algorithm first detects the object in front of it through the trained YOLOv3-tiny model, and then uses the calibrated binocular camera to obtain the depth map within the viewing angle and distance the identified target object.In order to verify the validity of the detection results, different target objects are selected for verification experiments.The experiment results show that the algorithm can identify the category of the target object more accurately, and the target distance obtained from the depth chart is also more accurate.
Key words
YOLOv3 /
target detection and recognition /
binocular distance measurement /
UAV
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