Zobrazeno 1 - 10
of 304
pro vyhledávání: '"Chen, JunLong"'
Autor:
Kang, Jiawen, Tong, Yongju, Zhong, Yue, Chen, Junlong, Xu, Minrui, Niyato, Dusit, Deng, Runrong, Mao, Shiwen
The rise of 6G-enable Vehicular Metaverses is transforming the automotive industry by integrating immersive, real-time vehicular services through ultra-low latency and high bandwidth connectivity. In 6G-enable Vehicular Metaverses, vehicles are repre
Externí odkaz:
http://arxiv.org/abs/2411.04139
Artificial Intelligence-Generated Content (AIGC) has the potential to transform how people build and interact with virtual environments. Within this paper, we discuss potential benefits but also challenges that AIGC has for the creation of inclusive
Externí odkaz:
http://arxiv.org/abs/2410.23803
As more applications of large language models (LLMs) for 3D content for immersive environments emerge, it is crucial to study user behaviour to identify interaction patterns and potential barriers to guide the future design of immersive content creat
Externí odkaz:
http://arxiv.org/abs/2410.22177
Selection of occluded objects is a challenging problem in virtual reality, even more so if multiple objects are involved. With the advent of new artificial intelligence technologies, we explore the possibility of leveraging large language models to a
Externí odkaz:
http://arxiv.org/abs/2410.21091
Autor:
Tong, Yongju, Chen, Junlong, Xu, Minrui, Kang, Jiawen, Xiong, Zehui, Niyato, Dusit, Yuen, Chau, Han, Zhu
Vehicular Metaverses are developed to enhance the modern automotive industry with an immersive and safe experience among connected vehicles and roadside infrastructures, e.g., RoadSide Units (RSUs). For seamless synchronization with virtual spaces, V
Externí odkaz:
http://arxiv.org/abs/2406.05418
Autor:
Tong, Yongju, Kang, Jiawen, Chen, Junlong, Xu, Minrui, Li, Gaolei, Zhang, Weiting, Yan, Xincheng
Air-ground integrated networks can relieve communication pressure on ground transportation networks and provide 6G-enabled vehicular Metaverses services offloading in remote areas with sparse RoadSide Units (RSUs) coverage and downtown areas where us
Externí odkaz:
http://arxiv.org/abs/2406.05422
Autor:
Chen, Junlong, Tang, Yanbin
In this paper we consider the homogenization problem of nonlinear evolution equations with space-time non-locality, the problems are given by Beltritti and Rossi [JMAA, 2017, 455: 1470-1504]. When the integral kernel $J(x,t;y,s)$ is re-scaled in a su
Externí odkaz:
http://arxiv.org/abs/2310.19146
In this paper, we study the homogenization of the distribution-dependent stochastic abstract fluid models by combining the $two\!-\!scale$ convergence and martingale representative approach. A general framework of the homogenization research is estab
Externí odkaz:
http://arxiv.org/abs/2310.08111
Autor:
Chen, Junlong, Kang, Jiawen, Xu, Minrui, Xiong, Zehui, Niyato, Dusit, Chen, Chuan, Jamalipour, Abbas, Xie, Shengli
Avatars, as promising digital assistants in Vehicular Metaverses, can enable drivers and passengers to immerse in 3D virtual spaces, serving as a practical emerging example of Artificial Intelligence of Things (AIoT) in intelligent vehicular environm
Externí odkaz:
http://arxiv.org/abs/2306.14683
Autor:
Xu, Minrui, Niyato, Dusit, Chen, Junlong, Zhang, Hongliang, Kang, Jiawen, Xiong, Zehui, Mao, Shiwen, Han, Zhu
In the vehicular mixed reality (MR) Metaverse, the distance between physical and virtual entities can be overcome by fusing the physical and virtual environments with multi-dimensional communications in autonomous driving systems. Assisted by digital
Externí odkaz:
http://arxiv.org/abs/2302.08418