Target Location Detection for UAV Manipulator Grasp in Consumer Electronics
Chendong Fu, Weihao Feng, Yuqian Wang · IEEE Transactions on Consumer Electronics · 2023
The popularity of the field of consumer electronics has become higher and higher, and the target location detection captured by the unmanned aerial vehicle (UAV) manipulator has gradually become the research focus of scholars at home and abroad. YOLOY5s, as one of the most popular target detectors at present, has the problem of insufficient feature expression ability. To solve this problem, this paper designs a target detection scheme based on feature optimization and proposes a new target detector based on feature enhancement and attention mechanism (FEATT), which improves the detection performance of the general target detector. The main work of this paper is as follows: 1) In order to enrich the feature space of the target detector, this paper proposes a CBMA-based center and scale prediction with spatial enhancement (CCSP). The CCSP module makes good use of the connection of diversity and the nonlinearity of training time to enhance the spatial representation of features without adding additional reasoning time. 2) In order to better capture channel information and spatial information in the network and enhance the ability of network feature representation, this paper proposes coordinate attention with Meta-ACON (CATTM) based on channel and spatial information.