Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
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 …
transportation systems. Artificially intelligent traffic management systems apply computer …
Multi-level traffic-responsive tilt camera surveillance through predictive correlated online learning
In urban traffic management, the primary challenge of dynamically and efficiently monitoring
traffic conditions is compounded by the insufficient utilization of thousands of surveillance …
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
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 …
in relatively short freeway segments with a single bottleneck. However, in reality …
Multi-Branch Enhanced Discriminative Network for Vehicle Re-Identification
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 …
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
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 …
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
Traffic safety, reliability, and resilience are significantly influenced by environmental factors
such as visibility, road surface, and weather conditions. Yet, current monitoring methods …
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
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) …
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
Traditional highway safety and monitoring solutions, reliant on surveillance cameras, face
limitations due to their dependence on high-speed internet connectivity and the remote …
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 …
effectively and efficiently in the thermal infrared domain. The lack of thermal infrared …