D scanners rely on being able to identify physical features of an object, and line up what it saw a moment ago with what it ...
Abstract: The precise detection of infrared (IR) tiny objects against complex backgrounds is of great significance in the field of aircraft imaging guidance. However, due to the extremely small target ...
Abstract: RGB-infrared (RGB-IR) object detection has attracted significant attention in drone-based applications due to its robustness under all-weather conditions. How to effectively fuse the ...
This project simulates a traffic light system using red, yellow, and green LEDs. A one-digit 7-segment display counts seconds for each traffic light phase, demonstrating sequencing and timing in ...
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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