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Shui Jiang, Yanning Ge, Xu Yang, Wencheng Yang and Hui Cui
Reinforcement learning (RL) is pivotal in empowering Unmanned Aerial Vehicles (UAVs) to navigate and make decisions efficiently and intelligently within complex and dynamic surroundings. Despite its significance, RL is hampered by inherent limitations su...
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Xueliang Wang, Nan Yang, Enjun Liu, Wencheng Gu, Jinglin Zhang, Shuo Zhao, Guijiang Sun and Jian Wang
In order to solve the problem of manual labeling in semi-supervised tree species classification, this paper proposes a pixel-level self-supervised learning model named M-SSL (multisource self-supervised learning), which takes the advantage of the informa...
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Peizhou Du, S. H. Huang, Wencheng Yang, Yingqiang Wang, Zhikun Wang, Ruoyu Hu and Ying Chen
The autonomous underwater helicopter, shortly referred to as AUH, is a newly developed underwater platform with a unique disc shape. An autonomous underwater helicopter with a suboptimal disc shape is presented in this paper. It adopts a multirotor confi...
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Wencheng Wu, Cheng Chang, Tao Li, Hongji Hu, Zhonglin Zhou, Wenhao Yang, Jinyue Guo, Peixu Zhu, Ju Li, Jianfeng Hu, Hong Cheng, Youfeng Tao, Wei Zhou, Fei Deng, Yong Chen, Wanjun Ren and Xiaolong Lei
Sowing quality is directly influenced by the seed-filling characteristics of a centralized seed-metering device, and vigorous seed-motion status deteriorates seeding performance resulting from field surface roughness, seeder vibration, etc. However, the ...
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