Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Feng Yuxiang"'
Autor:
Lyu Baiying, Chen Chen, Wang Jian, Li Chang, Zhang Wei, Feng Yuxiang, Dong Fei, Zhang BaoShun, Zeng Zhongming, Wang Yiqun, Wu Dongmin
Publikováno v:
Nanophotonics, Vol 13, Iss 4, Pp 477-485 (2024)
Structured light projection provides a promising approach to achieving fast and non-contact three-dimensional (3D) imaging. The resolution is a crucial index that represents security and accuracy in applications such as face recognition and robot vis
Externí odkaz:
https://doaj.org/article/04b49ee95d6d47fc80430b2ee2a57abb
Autor:
Han, Yue, Zhu, Junwei, Feng, Yuxiang, Ji, Xiaozhong, He, Keke, Li, Xiangtai, xue, zhucun, Liu, Yong
Current diffusion-based face animation methods generally adopt a ReferenceNet (a copy of U-Net) and a large amount of curated self-acquired data to learn appearance features, as robust appearance features are vital for ensuring temporal stability. Ho
Externí odkaz:
http://arxiv.org/abs/2409.15179
Autor:
Yang, Yu, Mei, Jianbiao, Ma, Yukai, Du, Siliang, Chen, Wenqing, Qian, Yijie, Feng, Yuxiang, Liu, Yong
World models envision potential future states based on various ego actions. They embed extensive knowledge about the driving environment, facilitating safe and scalable autonomous driving. Most existing methods primarily focus on either data generati
Externí odkaz:
http://arxiv.org/abs/2408.14197
Autor:
Tian, Hanlin, Reddy, Kethan, Feng, Yuxiang, Quddus, Mohammed, Demiris, Yiannis, Angeloudis, Panagiotis
This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing. CRITICAL stands out for its ability to generate diverse scenarios, focusing on critical driving situations that target specific learning a
Externí odkaz:
http://arxiv.org/abs/2404.08570
Autor:
Ye, Qiming, Feng, Yuxiang, Macias, Jose Javier Escribano, Stettler, Marc, Angeloudis, Panagiotis
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 2, pp. 2024-2034, Feb. 2023
The deployment of Autonomous Vehicles (AVs) poses considerable challenges and unique opportunities for the design and management of future urban road infrastructure. In light of this disruptive transformation, the Right-Of-Way (ROW) composition of ro
Externí odkaz:
http://arxiv.org/abs/2303.12289
Autor:
Liu, Yubin, Ye, Qiming, Escribano-Macias, Jose, Feng, Yuxiang, Candela, Eduardo, Angeloudis, Panagiotis
Mobile parcel lockers have been recently proposed by logistics operators as a technology that could help reduce traffic congestion and operational costs in urban freight distribution. Given their ability to relocate throughout their area of deploymen
Externí odkaz:
http://arxiv.org/abs/2209.04265
Autor:
Feng, Yuxiang, Xie, Weilin, Meng, Yinxia, Yang, Jiang, Yang, Qiang, Ren, Yan, Bo, Tianwai, Tan, Zhongwei, Wei, Wei, Dong, Yi
Coherent fading has been regarded as a critical issue in phase-sensitive optical frequency domain reflectometry ({\phi}-OFDR) based distributed fiber-optic sensing. Here, we report on an approach for fading noise suppression in {\phi}-OFDR with multi
Externí odkaz:
http://arxiv.org/abs/2205.03229
Autor:
Li, Yuhuan, Cheng, Shaowu, Feng, Yuxiang, Zhang, Yaping, Angeloudis, Panagiotis, Quddus, Mohammed, Ochieng, Washington Yotto
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part C
Autor:
Hu, Bo, Zhang, Sunan, Feng, Yuxiang, Li, Bingbing, Sun, Hao, Chen, Mingyang, Zhuang, Weichao, Zhang, Yi
Publikováno v:
In Engineering Applications of Artificial Intelligence January 2025 139 Part A
With the emerging technologies in Intelligent Transportation System (ITS), the adaptive operation of road space is likely to be realised within decades. An intelligent street can learn and improve its decision-making on the right-of-way (ROW) for roa
Externí odkaz:
http://arxiv.org/abs/2112.05434