Papers
2
Total Citations
24
H-Index
2
About
Decheng Gan is a rising researcher at the forefront of computer vision and autonomous systems, with a specialized focus on environmental perception and intelligent navigation. His work bridges critical gaps between visual SLAM algorithms, object detection, and energy-efficient autonomous platforms, addressing fundamental challenges in how machines perceive and interact with their surroundings. Gan’s most influential contribution, a comprehensive survey on computer vision detection and visual SLAM for energy-efficient autonomous systems, has already garnered 22 citations since its 2024 publication, reflecting its timely impact on the field. This work systematically maps the integration of multi-target long-term visual tracking, defect detection, and driverless navigation—technologies essential for modern automated production and robotic vehicles. His subsequent survey on computer vision algorithms for driverless robotic vehicles with sensing capability further cements his expertise, exploring how sensing technologies enable robust autonomous decision-making. Gan’s research is particularly notable for its practical orientation, directly supporting advancements in industrial automation, autonomous driving, and smart manufacturing. As an emerging voice in this rapidly evolving domain, his surveys serve as essential references for researchers and engineers developing next-generation autonomous systems that are both perceptually aware and energy-efficient.
Research Focus
Key Achievements
Top Papers
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