Road anomaly detection - Open Access .click

IEEE Transactions on Intelligent Transportation Systems, 2017
The analysis of large amounts of multidimensional road traffic data for anomaly detection is a complex task. Visual analytics can bridge the gap between computational and human approaches to detecting anomalous behavior in road traffic, making the data analysis process more transparent.
Maria Riveiro, Mikael Lebram, Marcus Elmer +2 more
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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
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Road anomaly estimation: Model based pothole detection

2015 American Control Conference (ACC), 2015
This paper describes a model-based pothole detection algorithm that exploits a multi-phase dynamic model. The responses of hitting potholes are empirically broken down into three phases governed by three simpler dynamic system sub-models. Each sub-model is based on a rigid-ring tire and quarter-car suspension model.
Zhaojian Li +4 more
openaire +1 more source

anomaly detection
11. sustainability
deep learning

machine learning
tk1-9971
data analysis

smartphone sensors
intelligent transportation systems
road anomaly