Toward Practical Crowdsourcing-Based Road Anomaly Detection With Scale-Invariant Feature

Toward Practical Crowdsourcing-Based Road Anomaly Detection With Scale-Invariant Feature

Road anomaly detection with crowdsourced sensor data has become an increasingly important field of research over the last few years. Traditional ways for road anomaly detection are either threshold-based detection techniques or feature-based detection techniques. However, road anomaly patterns from...

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Bibliographic Details
Main Authors: Yuanyi Chen, Mingxuan Zhou, Zengwei Zheng, Meimei Huo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Road anomaly detection
mobile crowdsourcing
accelerometer readings
sliding window
scale-invariant feature
Online Access:https://ieeexplore.ieee.org/document/8721045/

Internet

https://ieeexplore.ieee.org/document/8721045/

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