VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications
Vehicle anomaly detection plays a vital role in highway safety applications such as accident
prevention, rapid response, traffic flow optimization, and work zone safety. With the surge of …
prevention, rapid response, traffic flow optimization, and work zone safety. With the surge of …
Practices and a strong baseline for traffic anomaly detection
The detection of traffic anomalies is a critical component of the intelligent city transportation
management sys-tem. Previous works have proposed a variety of notable in-sights and …
management sys-tem. Previous works have proposed a variety of notable in-sights and …
Good practices and a strong baseline for traffic anomaly detection
The detection of traffic anomalies is a critical component of the intelligent city transportation
management system. Previous works have proposed a variety of notable insights and taken …
management system. Previous works have proposed a variety of notable insights and taken …
A comparative study of faster r-cnn models for anomaly detection in 2019 ai city challenge
Traffic anomaly detection forms an integral part of intelligent traffic monitoring and
management system. Timely detection of anomalies is crucial in providing necessary …
management system. Timely detection of anomalies is crucial in providing necessary …
Anomaly Detection in Connected and Autonomous Vehicles: A Survey, Analysis, and Research Challenges
In Intelligent Transportation Systems (ITS), ensuring road safety has paved the way for
innovative advancements such as autonomous driving. These self-driving vehicles, with …
innovative advancements such as autonomous driving. These self-driving vehicles, with …
Box-level tube tracking and refinement for vehicles anomaly detection
Traffic Anomaly detection is an essential computer vision task and plays a critical role in
video structure analysis and urban traffic analysis. In this paper, we propose a box-level …
video structure analysis and urban traffic analysis. In this paper, we propose a box-level …
TA-NET: Empowering Highly Efficient Traffic Anomaly Detection Through Multi-Head Local Self-Attention and Adaptive Hierarchical Feature Reconstruction
J Chen, J Pu, B Yin, R Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the realm of road surveillance systems, Automatic Incident Detection (AID) methods have
shown promise in swiftly and precisely detecting traffic anomalies. Nevertheless, the paucity …
shown promise in swiftly and precisely detecting traffic anomalies. Nevertheless, the paucity …
Anomaly detection in autonomous driving: A survey
D Bogdoll, M Nitsche… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Nowadays, there are outstanding strides towards a future with autonomous vehicles on our
roads. While the perception of autonomous vehicles performs well under closed-set …
roads. While the perception of autonomous vehicles performs well under closed-set …
Towards anomaly detection in dashcam videos
Inexpensive sensing and computation, as well as insurance innovations, have made smart
dashboard cameras ubiquitous. Increasingly, simple model-driven computer vision …
dashboard cameras ubiquitous. Increasingly, simple model-driven computer vision …
WKN-OC: a new deep learning method for anomaly detection in intelligent vehicles
Z He, Y Chen, H Zhang, D Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) play a vital role in transforming human mobility,
tackling road congestion and road safety. However, CAVs rely heavily on the security …
tackling road congestion and road safety. However, CAVs rely heavily on the security …