With the growth of vehicular computing capacity, there is an increasing demand for real-time data processing. However, data is sometimes not optimal for purposes such as storage or training. To address this issue, we propose a solution to enhance vehicle safety by generating abnormal image data. We then leverage machine learning algorithms to detect and classify these anomalies while vehicles are in operation. An edge-based anomaly detection approach will be applied to prevent accidents and enhance the safety of connected vehicles.
Poster: Enhancing Autonomous Vehicles Safety Through Edge-Based Anomaly Detection
2023-12-06
479053 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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