Abstract: With the increasing demand for intelligent diagnosis in modern industry, the multisensor collaborative fault diagnosis technology has been widely developed. However, these studies focus on ...

End-to-end (E2E) autonomous driving aims to simplify the traditional modular pipeline by directly mapping multi-sensor inputs to driving actions through deep learning, enabling joint optimization and ...

Abstract: Underwater positioning is a crucial technology for autonomous underwater vehicles (AUVs) to effectively carry out a range of underwater tasks. With an underwater environment that is complex ...

Multisensor data fusion is a key technology in modern systems. It unites data obtained by several sensors to obtain a more complete and accurate picture of an environment or situation. Networks that ...

This study introduces two novel explainable AI frameworks, Interclass-Grad-CAM and Spectral-Grad-CAM, designed to enhance the interpretability of semantic segmentation models for Crop and Land Cover ...