Zobrazeno 1 - 10
of 1 333
pro vyhledávání: '"TANG Xiaoyu"'
Publikováno v:
Meikuang Anquan, Vol 54, Iss 3, Pp 117-122 (2023)
In order to study and analyze the impact of CO2 injection at different locations, different CO2 injection flow rates, and different temperatures on CO2 fire prevention, the 8406 working face of Yangmei No.5 coal mine was selected as the research obje
Externí odkaz:
https://doaj.org/article/8092534f2dc74fe4ba49e08479f1b191
In the fifth-generation (5G) era, eliminating communication interference sources is crucial for maintaining network performance. Interference often originates from unauthorized or malfunctioning antennas, and radio monitoring agencies must address nu
Externí odkaz:
http://arxiv.org/abs/2412.03055
In autonomous driving, accurately distinguishing between static and moving objects is crucial for the autonomous driving system. When performing the motion object segmentation (MOS) task, effectively leveraging motion information from objects becomes
Externí odkaz:
http://arxiv.org/abs/2408.13790
Effectively summarizing dense 3D point cloud data and extracting motion information of moving objects (moving object segmentation, MOS) is crucial to autonomous driving and robotics applications. How to effectively utilize motion and semantic feature
Externí odkaz:
http://arxiv.org/abs/2408.10602
Place recognition is the foundation for enabling autonomous systems to achieve independent decision-making and safe operations. It is also crucial in tasks such as loop closure detection and global localization within SLAM. Previous methods utilize m
Externí odkaz:
http://arxiv.org/abs/2405.07966
Speech Emotion Recognition (SER) is crucial in human-machine interactions. Mainstream approaches utilize Convolutional Neural Networks or Recurrent Neural Networks to learn local energy feature representations of speech segments from speech informati
Externí odkaz:
http://arxiv.org/abs/2403.04743
In the era of 5G communication, removing interference sources that affect communication is a resource-intensive task. The rapid development of computer vision has enabled unmanned aerial vehicles to perform various high-altitude detection tasks. Beca
Externí odkaz:
http://arxiv.org/abs/2402.12641
Autor:
Hu, Xiangcheng, Zheng, Linwei, Wu, Jin, Geng, Ruoyu, Yu, Yang, Wei, Hexiang, Tang, Xiaoyu, Wang, Lujia, Jiao, Jianhao, Liu, Ming
Accurately generating ground truth (GT) trajectories is essential for Simultaneous Localization and Mapping (SLAM) evaluation, particularly under varying environmental conditions. This study introduces a systematic approach employing a prior map-assi
Externí odkaz:
http://arxiv.org/abs/2401.17826
Autor:
Cheng, Jintao, Zeng, Kang, Huang, Zhuoxu, Tang, Xiaoyu, Wu, Jin, Zhang, Chengxi, Chen, Xieyuanli, Fan, Rui
Moving object segmentation (MOS) provides a reliable solution for detecting traffic participants and thus is of great interest in the autonomous driving field. Dynamic capture is always critical in the MOS problem. Previous methods capture motion fea
Externí odkaz:
http://arxiv.org/abs/2401.17023
Publikováno v:
Dianzi Jishu Yingyong, Vol 44, Iss 9, Pp 21-23 (2018)
Under the background of 5G technology, this paper studies the direction control field of intelligent vehicle automatic driving. Most of the existing intelligent vehicle recognition algorithms rely on the error of center line to control the intelligen
Externí odkaz:
https://doaj.org/article/59a7e7536e354e95b681f270e1bf0f13