Abstract: Visible-Infrared (RGB-IR) object detection plays a crucial role in UAV-based vision tasks. However, existing methods still suffer from learning bias caused by imbalanced information ...
Abstract: Multimodal object detection plays a crucial role in all-weather and multi-scene applications of aerial imagery. Existing studies mainly focus on multimodal fusion and inter-level feature ...
DMFusion is a YOLOv8-based dual-branch object detection architecture for infrared–visible imagery that performs progressive, difference-aware fusion via a Feature Complementary Mapping Module (FCM) ...
This project implements a comprehensive ROS 2-based multi-sensor perception system that combines classical sensor fusion with deep learning for robust object detection, tracking, and classification.
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