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pro vyhledávání: '"Bao, Yunqing"'
Autor:
Bao, Yunqing, Hu, Bin
This paper presents a novel algorithm for non-destructive damage detection for steel ropes in high-altitude environments (aerial ropeway). The algorithm comprises two key components: First, a segmentation model named RGBD-UNet is designed to accurate
Externí odkaz:
http://arxiv.org/abs/2402.03843
Salient Object Detection (SOD) is a popular and important topic aimed at precise detection and segmentation of the interesting regions in the images. We integrate the linguistic information into the vision-based U-Structure networks designed for sali
Externí odkaz:
http://arxiv.org/abs/2208.04361
Autor:
Shi, Tianyu, Wang, Zhichao, Zou, Chong hao, Wang, Sunbo, Bao, Yunqing, Yuan, Shihua, Li, Xueyuan, Zhou, Junjie
In this paper,we design a formation control systrm for multi-unmanned ground vehicles(UGV) from the prospective of path planning and path tracking.The master-slave control is adopted by electing out a main vehicle to address the problem of possible a
Externí odkaz:
http://arxiv.org/abs/1808.03682
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 688:022003
In this paper, a novel formation control system, composed of path planning and tracking, was designed. A master-slave control model, based on the main vehicle, was proposed to solve the potential accumulation, transmission and amplification errors. T
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Publikováno v:
IOP Conference Series: Materials Science and Engineering; November 2019, Vol. 688 Issue: 2 p022003-022003, 1p