Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications

A Elhanashi, P Dini, S Saponara, Q Zheng - Electronics, 2023 - mdpi.com
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

Object detection in traffic videos: A survey

H Ghahremannezhad, H Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …

Multi-level traffic-responsive tilt camera surveillance through predictive correlated online learning

T Li, Z Bian, H Lei, F Zuo, YT Yang, Q Zhu, Z Li… - … Research Part C …, 2024 - Elsevier
In urban traffic management, the primary challenge of dynamically and efficiently monitoring
traffic conditions is compounded by the insufficient utilization of thousands of surveillance …

Coordinated variable speed limit control for consecutive bottlenecks on freeways using multiagent reinforcement learning

S Zheng, M Li, Z Ke, Z Li - Journal of advanced transportation, 2023 - Wiley Online Library
Most of the current variable speed limit (VSL) strategies are designed to alleviate congestion
in relatively short freeway segments with a single bottleneck. However, in reality …

Multi-Branch Enhanced Discriminative Network for Vehicle Re-Identification

J Lian, DH Wang, Y Wu, S Zhu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicle re-identification (ReID) is the task of identifying the same vehicle across numerous
cameras. This is a complex classification task, and the fine-grained information and strong …

Lightweight edge intelligence empowered near-crash detection towards real-time vehicle event logging

R Ke, Z Cui, Y Chen, M Zhu, H Yang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
A major role of automated vehicles is that vehicles serve as mobile sensors for event
detection and data collection, which support tactical automation in autonomous driving and …

Real-Time Multi-Task Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence

C Liu, H Yang, M Zhu, F Wang, T Vaa… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic safety, reliability, and resilience are significantly influenced by environmental factors
such as visibility, road surface, and weather conditions. Yet, current monitoring methods …

VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer

AD Pazho, GA Noghre, V Katariya… - Proceedings of the …, 2024 - openaccess.thecvf.com
Enhancing roadway safety has become an essential computer vision focus area for
Intelligent Transportation Systems (ITS). As a part of ITS Vehicle Trajectory Prediction (VTP) …

VegaEdge: Edge AI confluence for real-time IoT-applications in highway safety

V Katariya, AD Pazho, GA Noghre, H Tabkhi - Internet of Things, 2024 - Elsevier
Traditional highway safety and monitoring solutions, reliant on surveillance cameras, face
limitations due to their dependence on high-speed internet connectivity and the remote …

Efficient thermal infrared tracking with cross-modal compress distillation

H Li, Y Zha, H Li, P Zhang, W Huang - Engineering Applications of Artificial …, 2023 - Elsevier
The key issue of thermal infrared tracking is to use neural networks to represent the target
effectively and efficiently in the thermal infrared domain. The lack of thermal infrared …