Abstract: Intelligent in-vehicle networks (IVNs) are increasingly exposed to complex security threats. Traditional supervised deep learning methods depend heavily on extensive labeled datasets, ...

Abstract: In highway scenarios, LiDAR and cameras are prone to vibrations due to the rapid passage of vehicles through gantries and environmental factors. To address the decline in detection accuracy ...