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Road Anomaly Detection with Group Intelligence Perception

2019 International Conference on Communications, Information System and Computer Engineering (CISCE), 2019
we consider a collection of the actual combat training of the troops that continues to deepen, and the use of training vehicles is becoming more frequent. We study the problem of detecting abnormal road surface, which may lead to traffic safety accidents and damage to the troops and officers and soldiers.
WenChen Wang   +4 more
openaire   +1 more source

Survey of road anomalies detection methods

International Journal of Intelligent Systems Technologies and Applications, 2023
Rasha Saffarini   +4 more
openaire   +1 more source

On-road anomaly detection by multimodal sensor analysis and multimedia processing

SPIE Proceedings, 2014
The use of smartphones in Intelligent Transportation Systems is gaining popularity, yet many challenges exist in developing functional applications. Due to the dynamic nature of transportation, vehicular social applications face complexities such as developing robust sensor management, performing signal and image processing tasks, and sharing ...
Fatih Orhan, P. Erhan Eren
openaire   +1 more source

Pedestrian's avoidance behavior recognition for road anomaly detection in the city

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15, 2015
In this paper, we show an opportunistic sensing-based system for road anomaly detection. To detect road anomalies such as cracks, pits, and puddles, we focus on pedestrian's avoidance behavior that is characterized by the azimuth changing patterns. Three typical avoidance behaviors are defined.
Tsuyoshi Ishikawa, Kaori Fujinami
openaire   +1 more source

Unsupervised Road Anomaly Detection with Language Anchors

2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
Beiwen Tian   +5 more
openaire   +1 more source

Artificial Intelligence for Road Anomaly Detection: A Review

WIREs Data Mining and Knowledge Discovery
ABSTRACT Road safety is a critical issue due to its significant impact on public health and economic stability. Traffic accidents result in millions of fatalities and injuries globally each year, imposing substantial healthcare costs and loss of productivity.
Rohit Samanta   +3 more
openaire   +1 more source

NaviSaf: A safe navigation system for road anomalies detection

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 2022
Oussama Mazari Abdessameud   +3 more
openaire   +1 more source

Road Traffic Anomaly Detection: A Survey

2022
Imane El Manaa   +4 more
openaire   +1 more source

Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review

Sensors, 2023
Munish Rathee   +2 more
exaly  

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