Results 11 to 20 of about 6,853 (246)

Road-Side Unit Anomaly Detection

open access: yesVehicles, 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
doaj   +4 more sources

A Review on Negative Road Anomaly Detection Methods [PDF]

open access: yesIEEE 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
doaj   +2 more sources

Road Anomalies Detection System Evaluation [PDF]

open access: yesSensors, 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
doaj   +4 more sources

Road Traffic Anomaly Detection Based on Fuzzy Theory

open access: yesIEEE 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
doaj   +2 more sources

Road Traffic Anomaly Detection via Collaborative Path Inference from GPS Snippets

open access: yesSensors, 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
doaj   +3 more sources

Embracing Crowdsensing: An Enhanced Mobile Sensing Solution for Road Anomaly Detection

open access: yesISPRS 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
doaj   +3 more sources

Graph Multi-Resolution Transformer for Road Traffic Anomaly Detection

open access: yesIEEE Access
Traffic anomaly detection has become increasingly vital for ensuring the safety, efficiency, and resilience of urban transportation systems. The emergence of megacities and the integration of autonomous vehicles (AVs) introduce new challenges for anomaly
Donghyun Park   +3 more
doaj   +2 more sources

PROBABILISTIC-BASED CROWDSOURCING TECHNIQUE FOR ROAD SURFACE ANOMALY DETECTION [PDF]

open access: yesThe 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
doaj   +1 more source

A three-tier road condition classification system using a spiking neural network model

open access: yesJournal 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
doaj   +1 more source

Traffic Trajectory Anomaly Detection Method Based on Reconstruction Error [PDF]

open access: yesJisuanji kexue, 2022
The rapid development of sensor technology has spawned a large amount of traffic trajectory data,and trajectory ano-maly detection has important application value in smart transportation,urban planning,road monitoring and other fields.Aiming at the ...
LI Chao-neng, FENG Guan-wen, LIU Ru-yi, MIAO Qi-guang
doaj   +1 more source

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