Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zhou, Jinni"'
Autor:
Zhang, Mingjie, Feng, Chen, Li, Zengzhi, Zheng, Guiyong, Luo, Yiming, Wang, Zhu, Zhou, Jinni, Shen, Shaojie, Zhou, Boyu
Unmanned Aerial Vehicles (UAVs) have gained significant popularity in scene reconstruction. This paper presents SOAR, a LiDAR-Visual heterogeneous multi-UAV system specifically designed for fast autonomous reconstruction of complex environments. Our
Externí odkaz:
http://arxiv.org/abs/2409.02738
Autor:
Zheng, Wenqi, Xiong, Dawei, Weng, Cekai, Jiang, Jiajun, Li, Junwei, Zhou, Jinni, Fan, Mingming
The perception of physical objects and miniatures enhances the realism and immersion in VR. This work explores the relationship between haptic feedback from real objects and their visual representations in VR. The study examines how users confirm and
Externí odkaz:
http://arxiv.org/abs/2408.08018
The outdoor vision systems are frequently contaminated by rain streaks and raindrops, which significantly degenerate the performance of visual tasks and multimedia applications. The nature of videos exhibits redundant temporal cues for rain removal w
Externí odkaz:
http://arxiv.org/abs/2407.21773
Relative state estimation is crucial for vision-based swarms to estimate and compensate for the unavoidable drift of visual odometry. For autonomous drones equipped with the most compact sensor setting -- a stereo camera that provides a limited field
Externí odkaz:
http://arxiv.org/abs/2407.01292
Autor:
Yang, Yiqian, Jo, Hyejeong, Duan, Yiqun, Zhang, Qiang, Zhou, Jinni, Lee, Won Hee, Xu, Renjing, Xiong, Hui
Deciphering language from brain activity is a crucial task in brain-computer interface (BCI) research. Non-invasive cerebral signaling techniques including electroencephalography (EEG) and magnetoencephalography (MEG) are becoming increasingly popula
Externí odkaz:
http://arxiv.org/abs/2406.01512
Autor:
Wang, Zifan, Jia, Yufei, Shi, Lu, Wang, Haoyu, Zhao, Haizhou, Li, Xueyang, Zhou, Jinni, Ma, Jun, Zhou, Guyue
Incorporating a robotic manipulator into a wheel-legged robot enhances its agility and expands its potential for practical applications. However, the presence of potential instability and uncertainties presents additional challenges for control objec
Externí odkaz:
http://arxiv.org/abs/2403.16535
Swarm robots have sparked remarkable developments across a range of fields. While it is necessary for various applications in swarm robots, a fast and robust coordinate initialization in vision-based drone swarms remains elusive. To this end, our pap
Externí odkaz:
http://arxiv.org/abs/2403.13455
Autor:
Xiong, Peixuan, Zhang, Yukai, Zhang, Nandi, Fu, Shihan, Li, Xin, Zheng, Yadan, Zhou, Jinni, Hu, Xiquan, Fan, Mingming
Rehabilitation therapies are widely employed to assist people with motor impairments in regaining control over their affected body parts. Nevertheless, factors such as fatigue and low self-efficacy can hinder patient compliance during extensive rehab
Externí odkaz:
http://arxiv.org/abs/2403.05264
Autor:
Yang, Yiqian, Duan, Yiqun, Zhang, Qiang, Jo, Hyejeong, Zhou, Jinni, Lee, Won Hee, Xu, Renjing, Xiong, Hui
Decoding language from brain dynamics is an important open direction in the realm of brain-computer interface (BCI), especially considering the rapid growth of large language models. Compared to invasive-based signals which require electrode implanta
Externí odkaz:
http://arxiv.org/abs/2403.01748
Tail-sitter vertical takeoff and landing (VTOL) unmanned aerial vehicles (UAVs) have the capability of hovering and performing efficient level flight with compact mechanical structures. We present a unified controller design for such UAVs, based on r
Externí odkaz:
http://arxiv.org/abs/2104.02108