Zobrazeno 1 - 10
of 1 469
pro vyhledávání: '"ZHANG Yufan"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 3, Pp 464-470 (2023)
Fuel cell involves many disciplines such as electricity, mechanics, electrochemistry, and thermodynamics, and its performance degradation process is complex, involving multi-physics, multi-scale, multi-parts, and multi-factors. Thus, it is difficult
Externí odkaz:
https://doaj.org/article/29107327f56c4380aceb34bde9c4c42d
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 1, Pp 11-17 (2023)
The anti-skid braking system of unmanned aerial vehicle has the characteristics of high-order nonlinearity, strong coupling, and time-varying parameters, which will seriously affect the taxiing performance of the unmanned aerial vehicle. This paper p
Externí odkaz:
https://doaj.org/article/7420a8fc4de644779a7e06c1b11ed2d3
Autor:
Yi, Zhonghua, Shi, Hao, Jiang, Qi, Gao, Yao, Wang, Ze, Zhang, Yufan, Yang, Kailun, Wang, Kaiwei
Optical flow estimation is extensively used in autonomous driving and video editing. While existing models demonstrate state-of-the-art performance across various benchmarks, the robustness of these methods has been infrequently investigated. Despite
Externí odkaz:
http://arxiv.org/abs/2411.14865
Autor:
Yi, Zhonghua, Shi, Hao, Jiang, Qi, Yang, Kailun, Wang, Ze, Gu, Diyang, Zhang, Yufan, Wang, Kaiwei
Event cameras, with high temporal resolution and high dynamic range, have limited research on the inter-modality local feature extraction and matching of event-image data. We propose EI-Nexus, an unmediated and flexible framework that integrates two
Externí odkaz:
http://arxiv.org/abs/2410.21743
The dynamics of dislocations can be formulated in terms of the evolution of continuous variables representing dislocation densities ('continuum dislocation dynamics'). We show for various variants of this approach that the resulting models can be env
Externí odkaz:
http://arxiv.org/abs/2410.17177
This paper proposes a computationally tractable algorithm for learning infinite-horizon average-reward linear mixture Markov decision processes (MDPs) under the Bellman optimality condition. Our algorithm for linear mixture MDPs achieves a nearly min
Externí odkaz:
http://arxiv.org/abs/2410.14992
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Autor:
Datar, Aniket, Pokhrel, Anuj, Nazeri, Mohammad, Rao, Madhan B., Pan, Chenhui, Zhang, Yufan, Harrison, Andre, Wigness, Maggie, Osteen, Philip R., Ye, Jinwei, Xiao, Xuesu
Long-duration, off-road, autonomous missions require robots to continuously perceive their surroundings regardless of the ambient lighting conditions. Most existing autonomy systems heavily rely on active sensing, e.g., LiDAR, RADAR, and Time-of-Flig
Externí odkaz:
http://arxiv.org/abs/2410.01105
This paper presents P2U-SLAM, a visual Simultaneous Localization And Mapping (SLAM) system with a wide Field of View (FoV) camera, which utilizes pose uncertainty and point uncertainty. While the wide FoV enables considerable repetitive observations
Externí odkaz:
http://arxiv.org/abs/2409.10143
Autor:
Dong, Guosheng, Pan, Da, Sun, Yiding, Zhang, Shusen, Liang, Zheng, Wu, Xin, Shen, Yanjun, Yang, Fan, Sun, Haoze, Li, Tianpeng, Lin, Mingan, Xu, Jianhua, Zhang, Yufan, Nie, Xiaonan, Su, Lei, Wang, Bingning, Zhang, Wentao, Mao, Jiaxin, Zhou, Zenan, Chen, Weipeng
The general capabilities of Large Language Models (LLM) highly rely on the composition and selection on extensive pretraining datasets, treated as commercial secrets by several institutions. To mitigate this issue, we open-source the details of a uni
Externí odkaz:
http://arxiv.org/abs/2408.15079
Day-ahead unit commitment (UC) is a fundamental task for power system operators, where generator statuses and power dispatch are determined based on the forecasted nodal net demands. The uncertainty inherent in renewables and load forecasting require
Externí odkaz:
http://arxiv.org/abs/2408.05185