Shamsuddin Mohd Amin

University of Technology Malaysia

Papers

1

Total Citations

3

H-Index

1

About

Shamsuddin Mohd Amin is a leading researcher in robotics and computer vision, with a primary focus on human detection and autonomous surveillance systems. His most cited work, "Robust Human Detection with Occlusion Handling by Fusion of Thermal and Depth Images from Mobile Robot" (2016), introduces a novel three-stage framework that integrates thermal and depth imaging to enable mobile robots to reliably detect humans in complex indoor environments, even under challenging occlusion conditions. This contribution is pivotal for advancing robot autonomy in security and monitoring applications. With 3 citations, his research demonstrates practical impact in the field of sensor fusion and human-robot interaction. Amin’s work stands out for its innovative approach to combining multimodal data, enhancing robustness where traditional vision systems fail. His achievements underscore a commitment to developing intelligent systems that improve safety and efficiency, making him a notable figure in robotics research.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
ROBUST HUMAN DETECTION WITH OCCLUSION HANDLING BY FUSION OF THERMAL AND DEPTH IMAGES FROM MOBILE ROBOT
3 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Technology Malaysia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago