Zobrazeno 1 - 10
of 846
pro vyhledávání: '"QIN, Tong"'
Cross-modal localization has drawn increasing attention in recent years, while the visual relocalization in prior LiDAR maps is less studied. Related methods usually suffer from inconsistency between the 2D texture and 3D geometry, neglecting the int
Externí odkaz:
http://arxiv.org/abs/2412.01299
The advent of ultra-massive multiple-input-multiple output systems holds great promise for next-generation communications, yet their channels exhibit hybrid far- and near- field beam-squint (HFBS) effect. In this paper, we not only overcome but also
Externí odkaz:
http://arxiv.org/abs/2411.05278
Autonomous parking is a crucial task in the intelligent driving field. Traditional parking algorithms are usually implemented using rule-based schemes. However, these methods are less effective in complex parking scenarios due to the intricate design
Externí odkaz:
http://arxiv.org/abs/2408.02061
Robust localization is the cornerstone of autonomous driving, especially in challenging urban environments where GPS signals suffer from multipath errors. Traditional localization approaches rely on high-definition (HD) maps, which consist of precise
Externí odkaz:
http://arxiv.org/abs/2407.08561
Autor:
Wu, Hang, Zhang, Zhenghao, Lin, Siyuan, Qin, Tong, Pan, Jin, Zhao, Qiang, Xu, Chunjing, Yang, Ming
Bird's-eye-view (BEV) representation is crucial for the perception function in autonomous driving tasks. It is difficult to balance the accuracy, efficiency and range of BEV representation. The existing works are restricted to a limited perception ra
Externí odkaz:
http://arxiv.org/abs/2407.08526
Recently, Neural Radiance Fields (NeRF) achieved impressive results in novel view synthesis. Block-NeRF showed the capability of leveraging NeRF to build large city-scale models. For large-scale modeling, a mass of image data is necessary. Collecting
Externí odkaz:
http://arxiv.org/abs/2406.16289
Autor:
Zeng, Ye, Qiao, Li, Gao, Zhen, Qin, Tong, Wu, Zhonghuai, Khalaf, Emad, Chen, Sheng, Guizani, Mohsen
In massive multiple-input multiple-output (MIMO) systems, how to reliably acquire downlink channel state information (CSI) with low overhead is challenging. In this work, by integrating the generative pre-trained Transformer (GPT) with federated-tuni
Externí odkaz:
http://arxiv.org/abs/2406.03438
Reconfigurable massive multiple-input multiple-output (RmMIMO), as an electronically-controlled fluid antenna system, offers increased flexibility for future communication systems by exploiting previously untapped degrees of freedom in the electromag
Externí odkaz:
http://arxiv.org/abs/2405.02823
Autor:
Cheng, Wei, Chen, Xue-Wen, Zhou, Ruiyu, Jiang, Jiu-Jiang, Dai, Xin-Rui, Zhang, Zi-Han, Qin, Tong
In this study, we conducted a detailed analysis of the core parameter of Warm Higgs Inflation (WHI) $-$ the dissipation coefficient ($Q$). As a crucial parameter in the warm inflation process, $Q$ exerts profound influences on the entire evolutionary
Externí odkaz:
http://arxiv.org/abs/2401.11794
Autor:
Liu, Hongshan, Qin, Tong, Gao, Zhen, Mao, Tianqi, Ying, Keke, Wan, Ziwei, Qiao, Li, Na, Rui, Li, Zhongxiang, Hu, Chun, Mei, Yikun, Li, Tuan, Wen, Guanghui, Chen, Lei, Wu, Zhonghuai, Liu, Ruiqi, Chen, Gaojie, Wang, Shuo, Zheng, Dezhi
This article presents a comprehensive study on the emerging near-space communications (NS-COM) within the context of space-air-ground-sea integrated network (SAGSIN). Specifically, we firstly explore the recent technical developments of NS-COM, follo
Externí odkaz:
http://arxiv.org/abs/2401.00283