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Road Anomaly Detection Through Deep Learning Approaches [PDF]
IEEE Access, 2020 This paper addresses road anomaly detection by formulating it as a classification problem and applying deep learning approaches to solve it. Besides conventional road anomalies, additional ones are introduced from the perspective of a vehicle.
Dawei Luo, Jianbo Lu, Gang Guo
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Road-Side Unit Anomaly Detection
Vehicles, 2023 Actors of the Cooperative Intelligent Transport Systems (C-ITS) generate various amounts of data. Useful information on various issues such as anomalies, failures, road profiles, etc., could be revealed from the analysis of these data.
Mohamed-Lamine Benzagouta +3 more
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QDetect: Time Series Querying Based Road Anomaly Detection [PDF]
IEEE Access, 2020 Road anomaly detection has attracting increasing attention in recent years due to its significant role in the public transportation of modern cities. A few methods has been proposed to detect road anomaly with inertial sensors (e.g., accelerometer and ...
Zengwei Zheng +4 more
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Road Anomalies Detection System Evaluation [PDF]
Sensors, 2018 Anomalies on road pavement cause discomfort to drivers and passengers, and may cause mechanical failure or even accidents. Governments spend millions of Euros every year on road maintenance, often causing traffic jams and congestion on urban roads on a ...
Nuno Silva +3 more
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Spatiotemporal Road Traffic Anomaly Detection: A Tensor-Based Approach [PDF]
Applied Sciences, 2021 The increased development of urban areas results in a larger number of vehicles on the road network, leading to traffic congestion, which often leads to potentially dangerous situations that can be described as anomalies. The tensor-based methods emerged
Leo Tišljarić +3 more
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A Review on Negative Road Anomaly Detection Methods [PDF]
IEEE Access, 2020 The main limitation to obstacle avoidance nowadays has been negative road anomalies which is the term we used to refer to potholes and cracks due to their negative drop from the surface of the road. This has for long been a limitation because of the fact
Jihad Dib +2 more
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TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing [PDF]
Scientific ReportsAdvanced techniques for detecting and classifying road anomalies are crucial due to road networks’ rapid expansion and increasing complexity. This study introduces a novel integration of Tiny Machine Learning (TinyML), remote sensing, and fuzzy logic ...
Amna Khatoon +4 more
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Anomaly detection in urban lighting systems using autoencoder and transformer algorithms [PDF]
Scientific ReportsThe study aims to present the effectiveness of anomaly detection algorithms in lighting systems based on analyzing records from electricity meters. The road lighting management system operates continuously and in real-time, requiring online anomaly ...
Tomasz Śmiałkowski, Andrzej Czyżewski
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PROBABILISTIC-BASED CROWDSOURCING TECHNIQUE FOR ROAD SURFACE ANOMALY DETECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Road surface monitoring is a critical key factor to serve the purpose of road safety and driving comfort. Recently, many efforts have been made in developing approaches to detect road surface anomalies using smartphone sensors.
S. Sattar, S. Li, M. Chapman
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Dynamic Road Anomaly Detection: Harnessing Smartphone Accelerometer Data with Incremental Concept Drift Detection and Classification [PDF]
SensorsEffective monitoring of road conditions is crucial for ensuring safe and efficient transportation systems. By leveraging the power of crowd-sourced smartphone sensor data, road condition monitoring can be conducted in real-time, providing valuable ...
Imen Ferjani, Suleiman Ali Alsaif
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