Oct 22, 2024 · In this article, we propose QF-COTE, a real-time road anomaly detection system via mobile edge computing. Specifically, QF-COTE consists of two ...
Enabling real-time road anomaly detection via mobile edge computing
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To discover road anomalies, a large number of detection methods have been proposed. Most of them apply classification techniques by extracting time and ...
Dec 2, 2019 · In this article, we propose QF-COTE, a real-time road anomaly detection system via mobile edge computing. Specifically, QF-COTE consists of two ...
This paper proposes QDetect, a road anomaly detection system with less data-dependency via querying and re-comparing, which outperforms some existing methods.
In this article, we propose QF-COTE, a real-time road anomaly detection system via mobile edge computing. Specifically, QF-COTE consists of two phases: (1) ...
Enabling Real-Time Road Anomaly Detection via Mobile Edge Computing by Zengwei Zheng, Mingxuan Zhou, Yuanyi Chen, Meimei Huo, Dan Chen published in.
In this article, we propose QF-COTE, a real-time road anomaly detection system via mobile edge computing. Specifically, QF-COTE consists of two phases: (1) ...
QF-COTE [17] employs mobile edge computing (MEC) to detect road anomalies in real-time (i.e., end-to-end delay> 300 ms). QF-COTE enables coarse-grain geographic ...
Feb 7, 2024 · Machine learning models on an Edge device, such as a car ECU, ensure passenger safety by using real-time data to adapt to road conditions and ...
An optimized YOLOv3 vehicle detection algorithm is presented based on edge computing, which greatly improves the detection speed and further meets the low ...
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