Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Man, Ka Lok"'
4D millimeter-wave (MMW) radar, which provides both height information and dense point cloud data over 3D MMW radar, has become increasingly popular in 3D object detection. In recent years, radar-vision fusion models have demonstrated performance clo
Externí odkaz:
http://arxiv.org/abs/2409.14751
Autor:
Guan, Runwei, Liu, Jianan, Jia, Liye, Zhao, Haocheng, Yao, Shanliang, Zhu, Xiaohui, Man, Ka Lok, Lim, Eng Gee, Smith, Jeremy, Yue, Yutao
Recently, visual grounding and multi-sensors setting have been incorporated into perception system for terrestrial autonomous driving systems and Unmanned Surface Vehicles (USVs), yet the high complexity of modern learning-based visual grounding mode
Externí odkaz:
http://arxiv.org/abs/2408.17207
Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension
Autor:
Guan, Runwei, Zhang, Ruixiao, Ouyang, Ningwei, Liu, Jianan, Man, Ka Lok, Cai, Xiaohao, Xu, Ming, Smith, Jeremy, Lim, Eng Gee, Yue, Yutao, Xiong, Hui
Embodied perception is essential for intelligent vehicles and robots in interactive environmental understanding. However, these advancements primarily focus on vision, with limited attention given to using 3D modeling sensors, restricting a comprehen
Externí odkaz:
http://arxiv.org/abs/2405.12821
Autor:
Guan, Runwei, Hu, Rongsheng, Zhou, Zhuhao, Xue, Tianlang, Man, Ka Lok, Smith, Jeremy, Lim, Eng Gee, Ding, Weiping, Yue, Yutao
In reality, images often exhibit multiple degradations, such as rain and fog at night (triple degradations). However, in many cases, individuals may not want to remove all degradations, for instance, a blurry lens revealing a beautiful snowy landscap
Externí odkaz:
http://arxiv.org/abs/2404.10342
Autor:
Guan, Runwei, Jia, Liye, Yang, Fengyufan, Yao, Shanliang, Purwanto, Erick, Zhu, Xiaohui, Lim, Eng Gee, Smith, Jeremy, Man, Ka Lok, Hu, Xuming, Yue, Yutao
The perception of waterways based on human intent is significant for autonomous navigation and operations of Unmanned Surface Vehicles (USVs) in water environments. Inspired by visual grounding, we introduce WaterVG, the first visual grounding datase
Externí odkaz:
http://arxiv.org/abs/2403.12686
Autor:
Guan, Runwei, Zhao, Haocheng, Yao, Shanliang, Man, Ka Lok, Zhu, Xiaohui, Yu, Limin, Yue, Yong, Smith, Jeremy, Lim, Eng Gee, Ding, Weiping, Yue, Yutao
Urban water-surface robust perception serves as the foundation for intelligent monitoring of aquatic environments and the autonomous navigation and operation of unmanned vessels, especially in the context of waterway safety. It is worth noting that c
Externí odkaz:
http://arxiv.org/abs/2312.08851
Autor:
Yao, Shanliang, Guan, Runwei, Peng, Zitian, Xu, Chenhang, Shi, Yilu, Ding, Weiping, Lim, Eng Gee, Yue, Yong, Seo, Hyungjoon, Man, Ka Lok, Ma, Jieming, Zhu, Xiaohui, Yue, Yutao
With the rapid advancements of sensor technology and deep learning, autonomous driving systems are providing safe and efficient access to intelligent vehicles as well as intelligent transportation. Among these equipped sensors, the radar sensor plays
Externí odkaz:
http://arxiv.org/abs/2312.04861
Autor:
Guan, Runwei, Yao, Shanliang, Zhu, Xiaohui, Man, Ka Lok, Yue, Yong, Smith, Jeremy, Lim, Eng Gee, Yue, Yutao
Panoptic Driving Perception (PDP) is critical for the autonomous navigation of Unmanned Surface Vehicles (USVs). A PDP model typically integrates multiple tasks, necessitating the simultaneous and robust execution of various perception tasks to facil
Externí odkaz:
http://arxiv.org/abs/2308.10287
Autor:
Guan, Runwei, Yao, Shanliang, Zhu, Xiaohui, Man, Ka Lok, Lim, Eng Gee, Smith, Jeremy, Yue, Yong, Yue, Yutao
Current perception models for different tasks usually exist in modular forms on Unmanned Surface Vehicles (USVs), which infer extremely slowly in parallel on edge devices, causing the asynchrony between perception results and USV position, and leadin
Externí odkaz:
http://arxiv.org/abs/2307.07102
Autor:
Yao, Shanliang, Guan, Runwei, Wu, Zhaodong, Ni, Yi, Huang, Zile, Liu, Ryan Wen, Yue, Yong, Ding, Weiping, Lim, Eng Gee, Seo, Hyungjoon, Man, Ka Lok, Ma, Jieming, Zhu, Xiaohui, Yue, Yutao
Autonomous driving on water surfaces plays an essential role in executing hazardous and time-consuming missions, such as maritime surveillance, survivors rescue, environmental monitoring, hydrography mapping and waste cleaning. This work presents Wat
Externí odkaz:
http://arxiv.org/abs/2307.06505