Results 11 to 20 of about 16,991 (248)
ISPRS International Journal of Geo-Information, 2016 Road anomalies, such as cracks, pits and puddles, have generally been identified by citizen reports made by e-mail or telephone; however, it is difficult for administrative entities to locate the anomaly for repair.
Tsuyoshi Ishikawa, Kaori Fujinami
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Road Traffic Anomaly Detection via Collaborative Path Inference from GPS Snippets
Sensors, 2017 Road traffic anomaly denotes a road segment that is anomalous in terms of traffic flow of vehicles. Detecting road traffic anomalies from GPS (Global Position System) snippets data is becoming critical in urban computing since they often suggest underlying ...
Hongtao Wang +4 more
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Enabling real-time road anomaly detection via mobile edge computing
International Journal of Distributed Sensor Networks, 2019 To discover road anomalies, a large number of detection methods have been proposed. Most of them apply classification techniques by extracting time and frequency features from the acceleration data. Existing methods are time-consuming since these methods
Zengwei Zheng +4 more
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Road Traffic Anomaly Detection Based on Fuzzy Theory
IEEE Access, 2018 The road traffic scenes are usually complex and the traffic video is vulnerable to external factors such as light, weather, and obstructions. It is difficult to extract the traffic parameters and detect the traffic anomaly exactly with the existing image
Yanshan Li +3 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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Embracing Crowdsensing: An Enhanced Mobile Sensing Solution for Road Anomaly Detection
ISPRS International Journal of Geo-Information, 2019 Road anomaly detection is essential in road maintenance and management; however, continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and high-efficiency solution remains a challenging research question.
Xiao Li +5 more
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Unmasking Anomalies in Road-Scene Segmentation
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 ICCV ...
Shyam Nandan Rai +4 more
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A three-tier road condition classification system using a spiking neural network model
Journal of King Saud University: Computer and Information Sciences, 2022 Road surface anomaly detection and classification based on crowd-sourced smart phone sensor data has become an important area of research over the last decade due to its potential benefits to road maintenance.
Moses Apambila Agebure +2 more
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Spatiotemporal Road Traffic Anomaly Detection: A Tensor-Based Approach
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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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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