Obstacle detection information generation method, device, device and computer readable medium

Abstract

Embodiments of the present disclosure disclose a method, device, device and computer-readable medium for generating obstacle detection information. A specific embodiment of the method includes: acquiring an image to be detected; generating a first target image and a second target image based on the image to be detected; generating a first regression prediction result set, a first classification prediction result set, a second regression A prediction result set and a second classification prediction result set; decoding the first regression prediction result set and the second regression prediction result set respectively to obtain a first decoding result set and a second decoding result set; generating a first detection information set; generating a second detection information set; performing data fusion processing on the first detection information set and the second detection information set to generate an obstacle detection information set. This embodiment realizes the generation of obstacle detection information, improves the generation quality of obstacle detection information, and provides convenience for automatic driving of vehicles.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to a method, device, device, and computer-readable medium for generating obstacle detection information. Background technique [0002] Obstacle detection information generation is a basic technology in the field of autonomous driving. At present, the commonly used method for generating obstacle detection information is: directly input the image to be detected into the trained model to obtain obstacle detection information. [0003] However, when the above method is used to generate obstacle detection information, the following technical problems often exist: [0004] First, the detection accuracy of obstacles with occlusion phenomena is low, thus affecting the generation quality of obstacle detection information, and further affecting the automatic driving effect of the vehicle. [0005] Second, there is a phenomenon of missed detection of small ob...

AI Technical Summary

Problems solved by technology

[0004] First, the detection accuracy of obstacles with occlusion is low, which affects the quality of obstacle detection information generation, and further affects the automatic driving effect of the vehicle

[0005] Second, there is a phenomenon of missed detection of small obstacles, which leads to inaccurate generation of obstacle detection information, and in turn, causes certain dangers in automatic driving

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