Single and Mixed Sensory Anomaly Detection in Connected and Automated Vehicle Sensor Networks
Tae Hoon Kim,
Stephen Ojo,
Moez Krichen
et al.
Abstract:Connected and automated vehicles (CAVs), integrated with sensors, cameras, and communication networks, are transforming the transportation industry and providing new opportunities for consumers to enjoy personalized and seamless experiences. The fast proliferation of connected vehicles on the road and the growing trend of autonomous driving create vast amounts of data that need to be analyzed in real time. Anomaly detection in CAVs refers to identifying any unusual or unforeseen behavior in the data generated … Show more
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