Jiwei Fan, Xiaogang Yang*, Ruitao Lu, Qingge Li, Siyu Wang
CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1031-1052, 2023, DOI:10.32604/cmc.2023.039582
Abstract In recent years, many visual positioning algorithms have been proposed based on computer vision and they have achieved good results. However, these algorithms have a single function, cannot perceive the environment, and have poor versatility, and there is a certain mismatch phenomenon, which affects the positioning accuracy. Therefore, this paper proposes a location algorithm that combines a target recognition algorithm with a depth feature matching algorithm to solve the problem of unmanned aerial vehicle (UAV) environment perception and multi-modal image-matching fusion location. This algorithm was based on the single-shot object detector based on multi-level feature pyramid network (M2Det) algorithm and… More >
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