RODNet: A real-time radar object detection network cross-supervised by camera-radar fused object 3D localization
Various autonomous or assisted driving strategies have been facilitated through the
accurate and reliable perception of the environment around a vehicle. Among the commonly …
accurate and reliable perception of the environment around a vehicle. Among the commonly …
Multiple object tracking in robotic applications: Trends and challenges
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 …
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
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 …
applications in off-site construction. This research proposes a vision-based method for …
Rodnet: Radar object detection using cross-modal supervision
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 …
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
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 …
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
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 …
(MOT). The new setting encourages the learning of more discriminative high-quality …
Segdq: Segmentation assisted multi-object tracking with dynamic query-based transformers
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 …
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
The Radar Object Detection 2021 (ROD2021) Challenge, held in the ACM International
Conference on Multimedia Retrieval (ICMR) 2021, has been introduced to detect and …
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
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 …
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 …
researchers focus on the applications under a single static or moving camera. In intelligent …