Zobrazeno 1 - 10
of 399
pro vyhledávání: '"Duan Yifan"'
Publikováno v:
Zhongguo linchuang yanjiu, Vol 36, Iss 8, Pp 1196-1200 (2023)
ObjectiveTo explore the clinical effect of wrist-ankle acupuncture (WAA) with midnight-noon ebb-flow at selection time on postoperative pain and rehabilitation after rotator cuff injury repair. MethodsA total of 68 inpatients for rehabilitation a
Externí odkaz:
https://doaj.org/article/f5540c7d1e0344b997adc92e9c0e89a3
Autor:
Duan, Yifan, Zhao, Jian, pengcheng, Mao, Junyuan, Wu, Hao, Xu, Jingyu, wang, shilong, Ma, Caoyuan, Wang, Kai, Wang, Kun, Li, Xuelong
Spatio-temporal (ST) prediction has garnered a De facto attention in earth sciences, such as meteorological prediction, human mobility perception. However, the scarcity of data coupled with the high expenses involved in sensor deployment results in n
Externí odkaz:
http://arxiv.org/abs/2409.19608
Autor:
Duan, Yifan, Zhang, Xinran, Li, Yao, You, Guoliang, Chu, Xiaomeng, Ji, Jianmin, Zhang, Yanyong
SLAM is a fundamental capability of unmanned systems, with LiDAR-based SLAM gaining widespread adoption due to its high precision. Current SLAM systems can achieve centimeter-level accuracy within a short period. However, there are still several chal
Externí odkaz:
http://arxiv.org/abs/2409.19597
Autor:
You, Guoliang, Chu, Xiaomeng, Duan, Yifan, Li, Xingchen, Zhang, Sha, Ji, Jianmin, Zhang, Yanyong
Multi-modal systems enhance performance in autonomous driving but face inefficiencies due to indiscriminate processing within each modality. Additionally, the independent feature learning of each modality lacks interaction, which results in extracted
Externí odkaz:
http://arxiv.org/abs/2409.14170
The recent advances in query-based multi-camera 3D object detection are featured by initializing object queries in the 3D space, and then sampling features from perspective-view images to perform multi-round query refinement. In such a framework, que
Externí odkaz:
http://arxiv.org/abs/2407.14923
Autor:
You, Guoliang, Chu, Xiaomeng, Duan, Yifan, Zhang, Wenyu, Li, Xingchen, Zhang, Sha, Li, Yao, Ji, Jianmin, Zhang, Yanyong
When planning for autonomous driving, it is crucial to consider essential traffic elements such as lanes, intersections, traffic regulations, and dynamic agents. However, they are often overlooked by the traditional end-to-end planning methods, likel
Externí odkaz:
http://arxiv.org/abs/2407.11644
The conditional diffusion model has been demonstrated as an efficient tool for learning robot policies, owing to its advancement to accurately model the conditional distribution of policies. The intricate nature of real-world scenarios, characterized
Externí odkaz:
http://arxiv.org/abs/2407.01950
Autor:
Wang, Shilong, Wu, Hao, Duan, Yifan, Zhang, Guibin, Li, Guohao, Liang, Yuxuan, Pan, Shirui, Wang, Kun, Wang, Yang
The ever-designed Graph Neural Networks, though opening a promising path for the modeling of the graph-structure data, unfortunately introduce two daunting obstacles to their deployment on devices. (I) Most of existing GNNs are shallow, due mostly to
Externí odkaz:
http://arxiv.org/abs/2405.07892
Autor:
Duan, Yifan, Zhang, Xinran, You, Guoliang, Wu, Yilong, Li, Xingchen, Li, Yao, Chu, Xiaomeng, Peng, Jie, Zhang, Yu, Ji, Jianmin, Zhang, Yanyong
Autonomous systems often employ multiple LiDARs to leverage the integrated advantages, enhancing perception and robustness. The most critical prerequisite under this setting is the estimating the extrinsic between each LiDAR, i.e., calibration. Despi
Externí odkaz:
http://arxiv.org/abs/2405.05589
Prior point cloud provides 3D environmental context, which enhances the capabilities of monocular camera in downstream vision tasks, such as 3D object detection, via data fusion. However, the absence of accurate and automated registration methods for
Externí odkaz:
http://arxiv.org/abs/2404.05164