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Event Aggregation for Smartphone-based Road-Anomaly Detection
2019 8th International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN), 2019The automatic identification of road anomaly can be used to reduce the risk for drivers and the maintenance cost of the roads. Nowadays, with the wide popularity of smartphones that include multiple sensors, several solutions have been proposed to detect these anomalies.
Nguyen Van Khang +2 more
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Structural inpainting of road patches for anomaly detection
2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015Obstacle detection on the road is a key function for self-driving vehicles. A lot of research has focused on detecting large obstacles such as cars and pedestrians. Small obstacles can also be the source of serious accidents, especially at high speed. We present an approach for detecting anomalies on the road using a higher-order Boltzmann machine.
Asim Munawar, Clement Creusot
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Survey of road anomalies detection methods
International Journal of Intelligent Systems Technologies and Applications, 2023Derar Elyyan +4 more
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ROAD: Radio Observatory Anomaly Detector
Proceedings of the XXXVth URSI General Assembly and Scientific Symposium – GASS 2023, 2023Michael Mesarcik +4 more
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Road Anomaly Detection Using Smartphone: A Brief Analysis
2019Identification of road anomaly not only helps drivers to reduce the risk, but also support for road maintenance. Arguably, with the popularity of smartphones including multiple sensors, many road anomaly detection systems using mobile phones have been proposed.
Van Khang Nguyen +2 more
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Unsupervised Road Anomaly Detection with Language Anchors
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023Beiwen Tian +5 more
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Road surface Anomaly Detection using Edge and Deep Learning
International Journal of Innovative Research in EngineeringThe exponential growth of digital networks has increased the risk of cyberattacks, making network anomaly detection a critical component of modern cybersecurity infrastructure. Traditional Intrusion Detection Systems (IDS) rely heavily on rule-based or signature-based mechanisms, which are limited in their ability to identify novel or evolving threats ...
Mohd. Jibran Parvez +1 more
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