Low-latency edge video analytics for on-road perception of autonomous ground vehicles

J Lin, P Yang, N Zhang, F Lyu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To improve the transportation efficiency of advanced manufacturing, cameras have been
extensively deployed to enhance the on-road perception of autonomous ground vehicles in …

Edge-assisted lightweight region-of-interest extraction and transmission for vehicle perception

Y Cheng, P Yang, N Zhang… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
To enhance on-road environmental perception for autonomous driving, accurate and real-
time analytics on high-resolution video frames generated from on-board cameras becomes …

Respire: Reducing spatial–temporal redundancy for efficient edge-based industrial video analytics

X Dai, P Yang, X Zhang, Z Dai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Video camera plays a growing important role in advancing industrial control towards a
higher level of automation. Thus, video analytics become highly demanded, especially for …

Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles

S Wan, S Ding, C Chen - Pattern Recognition, 2022 - Elsevier
Abstract In the Internet of Things enabled intelligent transportation systems, a huge amount
of vehicle video data has been generated and real-time and accurate video analysis are …

Edge learning for surveillance video uploading sharing in public transport systems

L Cui, D Su, Y Zhou, L Zhang, Y Wu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, surveillance cameras have been pervasively equipped with vehicles in public
transport systems. For the sake of public security, it is crucial to upload recorded surveillance …

Edge-assisted real-time video analytics with spatial–temporal redundancy suppression

Z Wang, X He, Z Zhang, Y Zhang, Z Cao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Driven by plummeting camera prices and advances of video inference algorithms, video
cameras are deployed ubiquitously and organizations usually rely on live video analytics to …

Real-time traffic estimation at vehicular edge nodes

G Kar, S Jain, M Gruteser, F Bai… - Proceedings of the Second …, 2017 - dl.acm.org
Traffic estimation has been a long-studied problem, but prior work has mostly provided
coarse estimates over large areas. This work proposes effective fine-grained traffic volume …

Real-time full-stack traffic scene perception for autonomous driving with roadside cameras

Z Zou, R Zhang, S Shen, G Pandey… - … on Robotics and …, 2022 - ieeexplore.ieee.org
We propose a novel and pragmatic framework for traffic scene perception with roadside
cameras. The proposed framework covers a full-stack of roadside perception pipeline for …

Air-ground integrated mobile edge computing in vehicular visual sensor networks

Q An, Y Shen - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In the vehicular visual sensor networks, multiple vehicles with on-board cameras capture
visual observations of the environment while moving along their trajectories and the 3-D …

Edge video analytics for public safety: A review

Q Zhang, H Sun, X Wu, H Zhong - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …