The video classification task has gained significant success in the recent years. Specifically,
the topic has gained more attention after the emergence of deep learning models as a …

Reliable autonomous driving requires comprehensive environment perception, among
which the road recognition is critical for autonomous vehicles to achieve adaptability …

The utilization of multisensors data mining and processing exhibits significant promise in
forthcoming applications, with cross-modal retrieval serving as a crucial element within this …

We present a joint camera and radar approach to enable autonomous vehicles to
understand and react to human gestures in everyday traffic. Initially, we process the radar …

The existing anti-jamming methods are based on single modality, lacking cross-modalities
feature extraction and general discriminant algorithms. In order to increase the diversity of …

In recent years, convolutional neural networks (CNNs) have been increasingly used for
classifying radar micro-Doppler signatures of various targets. However, obtaining large …

Reliable and robust radar target detection is a challenging task in the maritime environment,
particularly as bright returns or sea spikes share many similarities with true targets and can …