174 citations · 278 across the 7 of their papers we have counts for
7 papers
Advanced Millimeter-Wave Radar System for Real-Time Multiple-Human Tracking and Fall Detection
Zichao Shen, Jose Nunez-Yanez, Naim Dahnoun
This study explored an indoor system for tracking multiple humans and detecting falls, employing three Millimeter-Wave radars from Texas Instruments. Compared to wearables and came…
MiliPoint: A Point Cloud Dataset for mmWave Radar
Han Cui, Shu Zhong, Jiacheng Wu +3
Millimetre-wave (mmWave) radar has emerged as an attractive and cost-effective alternative for human activity sensing compared to traditional camera-based systems. mmWave radars ar…
Millimetre-wave Radar for Low-Cost 3D Imaging: A Performance Study
Han Cui, Jiacheng Wu, Naim Dahnoun
Millimetre-wave (mmWave) radars can generate 3D point clouds to represent objects in the scene. However, the accuracy and density of the generated point cloud can be lower than a l…
Real-Time Stereo Vision for Road Surface 3-D Reconstruction
Rui Fan, Yanan Liu, Xingrui Yang +3
Stereo vision techniques have been widely used in civil engineering to acquire 3-D road data. The two important factors of stereo vision are accuracy and speed. However, it is very…
A Novel Disparity Transformation Algorithm for Road Segmentation
Rui Fan, Mohammud Junaid Bocus, Naim Dahnoun
The disparity information provided by stereo cameras has enabled advanced driver assistance systems to estimate road area more accurately and effectively. In this paper, a novel di…
Real-time stereo vision-based lane detection system
Rui Fan, Naim Dahnoun
The detection of multiple curved lane markings on a non-flat road surface is still a challenging task for automotive applications. To make an improvement, the depth information can…