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Deep Camera-Radar Fusion With An Attention Framework For Autonomous Vehicle Vision in Foggy Weather Conditions by herocode54 is a document available to read on EtoBox.

What is Deep Camera-Radar Fusion With An Attention Framework For Autonomous Vehicle Vision in Foggy Weather Conditions about?

The paper presents a novel deep learning-based multi-sensor fusion network, CR-YOLOnet, designed to enhance object detection for autonomous vehicles (AVs) in foggy weather conditions by combining radar and camera data. It addresses the limitations of existing object detection methods, which struggle with accuracy and speed in adverse weather, by employing an attention mechanism to improve feature representation and reduce information loss. The results indicate that CR-YOLOnet achieves a balance between accu

Author

herocode54

Language

EN