Wan Azhar B. Yussof

Universiti Malaysia Pahang Al-Sultan Abdullah

Papers

1

Total Citations

9

H-Index

1

About

Driven by a passion for intelligent autonomous systems, Dr. Wan Azhar B. Yussof has carved a distinctive niche at the intersection of mobile robotics and sensor fusion. His research primarily focuses on enabling robots to perceive and navigate complex, unstructured environments through advanced multi-sensor integration. Dr. Yussof’s most cited work, "Sensors Fusion based Online Mapping and Features Extraction of Mobile Robot in the Road Following and Roundabout" (2016), exemplifies his core contribution: developing a real-time mapping system that fuses data from multiple sensors to extract critical road features. This approach allows mobile robots to continuously build a dynamic map of their surroundings, identifying road properties and navigating challenging scenarios like roundabouts with greater autonomy and reliability. While his foundational paper has garnered 9 citations, its true impact lies in laying the groundwork for more robust, context-aware navigation in field robotics. Dr. Yussof’s work is particularly notable for bridging the gap between theoretical sensor fusion algorithms and practical, real-world deployment, offering a roadmap for future research in autonomous vehicle navigation and intelligent transportation systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Sensors Fusion based Online Mapping and Features Extraction of Mobile Robot in the Road Following and Roundabout
9 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universiti Malaysia Pahang Al-Sultan Abdullah

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago