Intelligent Multi-Sensor Data Fusion for Enhanced RADAR and Optical Imaging Applications Using Huffman Encoding

The growing demand for real-time object detection and tracking in autonomous systems, military surveillance, and wearable safety applications has highlighted significant challenges in sensor fusion, computational efficiency, and environmental adaptability. This paper presents a novel multi-sensor fu...

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Vydané v:	2025 IEEE Space, Aerospace and Defence Conference (SPACE) s. 1 - 6
Hlavní autori:	Devarajan, Anjali, Jain, Ashrith P, Goswami, Ashutosh, Vats, Ayush, V, Kiran
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 21.07.2025
Predmet:	Accuracy adaptive cruise control autonomous navigation Cameras data fusion algorithms Data integration FMCW radar Global Positioning System GPS tracking Huffman encoding Image coding lossless image compression military surveillance Multi-sensor fusion Radar imaging Radar tracking real-time object detection Real-time systems Sensor fusion Surveillance YOLO
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