no code implementations • 27 Apr 2024 • Jiayin Deng, Zhiqun Hu, Yuxuan Xia, Zhaoming Lu, Xiangming Wen
In this paper, we present a novel three-dimensional (3D) extended object tracking (EOT) method, which simultaneously estimates the object kinematics and extent state, in roadside perception using both the radar and camera data.
no code implementations • 9 Mar 2024 • Jingbo Zhao, Zhaoming Lu, J. Andrew Zhang, Weicai Li, Yifeng Xiong, Zijun Han, Xiangming Wen, Tao Gu
This document contains the appendices for our paper titled ``Performance Bounds for Passive Sensing in Asynchronous ISAC Systems."
no code implementations • 30 Jan 2022 • Xinghe Chu, Zhaoming Lu, David Gesbert, Luhan Wang, Xiangming Wen, Muqing Wu, Meiling Li
This approach exploits an initial (e. g. GPS-based) vehicle position information and allows subsequent tracking of vehicles by exploiting the shared nature of virtual transmitters associated to the reflecting surfaces.
no code implementations • 9 Feb 2021 • Xinghe Chu, Zhaoming Lu, David Gesbert, Luhan Wang, Xiangming Wen
Our approach builds on the recently proposed Channel-SLAM method which first enabled leveraging of multi-path so as to improve (single) vehicle positioning.
no code implementations • 28 Dec 2020 • Yiming Wang, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Shuang Zhou, Wanyu Meng
To reconstruct 3D poses of people who move throughout the space rather than a fixed point, we fuse the amplitude and phase into Channel State Information (CSI) images which can provide both pose and position information.
no code implementations • 22 Dec 2020 • Shuang Zhou, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Wei Zheng, Yiming Wang
Existing papers achieve good results when constructing the images of subjects who are in the prior training samples.
no code implementations • 13 Nov 2020 • Zijun Han, Zhaoming Lu, Xiangming Wen, Wei Zheng, Jingbo Zhao, Lingchao Guo
Gesture awareness plays a crucial role in promoting human-computer interface.
no code implementations • 21 Sep 2020 • Lingchao Guo, Zhaoming Lu, Shuang Zhou, Xiangming Wen, Zhihong He
The proposed approach can capture fine-grained human pose figures even through a wall and track detailed respiration status simultaneously by off-the-shelf WiFi devices.