RODNet: A real-time radar object detection network cross-supervised by camera-radar fused object 3D localization

Y Wang, Z Jiang, Y Li, JN Hwang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Various autonomous or assisted driving strategies have been facilitated through the
accurate and reliable perception of the environment around a vehicle. Among the commonly …

Multiple object tracking in robotic applications: Trends and challenges

A Gad, T Basmaji, M Yaghi, H Alheeh, M Alkhedher… - Applied Sciences, 2022 - mdpi.com
The recent advancement in autonomous robotics is directed toward designing a reliable
system that can detect and track multiple objects in the surrounding environment for …

Vision-based method for tracking workers by integrating deep learning instance segmentation in off-site construction

B Xiao, H Xiao, J Wang, Y Chen - Automation in Construction, 2022 - Elsevier
Vision-based tracking of construction workers is the fundamental step for many automated
applications in off-site construction. This research proposes a vision-based method for …

Rodnet: Radar object detection using cross-modal supervision

Y Wang, Z Jiang, X Gao, JN Hwang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Radar is usually more robust than the camera in severe driving scenarios, eg, weak/strong
lighting and bad weather. However, unlike RGB images captured by a camera, the semantic …

Multi-target multi-camera tracking of vehicles using metadata-aided re-id and trajectory-based camera link model

HM Hsu, J Cai, Y Wang, JN Hwang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we propose a novel framework for multi-target multi-camera tracking (MTMCT)
of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based …

An object point set inductive tracker for multi-object tracking and segmentation

Y Gao, H Xu, Y Zheng, J Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-object tracking and segmentation (MOTS) is a derivative task of multi-object tracking
(MOT). The new setting encourages the learning of more discriminative high-quality …

Segdq: Segmentation assisted multi-object tracking with dynamic query-based transformers

Y Liu, T Bai, Y Tian, Y Wang, J Wang, X Wang… - Neurocomputing, 2022 - Elsevier
Abstract Multi-Object Tracking (MOT) has been one of the most important topics in computer
vision. The traditional tracking-by-detection framework of MOT is severely suffered from the …

Rod2021 challenge: A summary for radar object detection challenge for autonomous driving applications

Y Wang, JN Hwang, G Wang, H Liu, KJ Kim… - Proceedings of the …, 2021 - dl.acm.org
The Radar Object Detection 2021 (ROD2021) Challenge, held in the ACM International
Conference on Multimedia Retrieval (ICMR) 2021, has been introduced to detect and …

Multi-target multi-camera tracking of vehicles by graph auto-encoder and self-supervised camera link model

HM Hsu, Y Wang, J Cai… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Abstract Multi-Target Multi-Camera Tracking (MTMCT) of vehicles is a challenging task in
smart city related applications. The main challenge of MTMCT is how to accurately match the …

Pedestrian tracking through coordinated mining of multiple moving cameras

Y Zhang, Q Wang - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Multiple object tracking has attracted great interest in the computer vision community. Most
researchers focus on the applications under a single static or moving camera. In intelligent …