Md G. Irfan Feroz

Rajiv Gandhi University of Knowledge Technologies

Papers

1

Total Citations

6

H-Index

1

About

Md G. Irfan Feroz specializes in autonomous navigation and mobile robotics, with a particular focus on enabling vehicles to operate reliably in unstructured, off-road environments. His most-cited work, "ROBOG an autonomously navigating vehicle based on road detection for unstructured road" (2015), addresses a critical challenge in field robotics: navigating without accurate road maps or clear lane markings. Feroz proposed a real-time system integrating road detection and tracking, allowing a robotic vehicle to autonomously identify and follow paths in rugged terrain. This contribution has garnered 6 citations, reflecting its relevance to researchers working on autonomous ground vehicles for agriculture, disaster response, and exploration. By tackling the problem of road detection in unpredictable conditions, Feroz’s work advances the practical deployment of self-driving systems beyond structured highways. His research sits at the intersection of computer vision, control systems, and robotics, offering solutions that enhance vehicle autonomy in real-world, non-ideal settings. For students and researchers interested in field robotics or autonomous navigation, Feroz’s work provides a foundational approach to overcoming one of the most persistent obstacles in outdoor robotic mobility.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
ROBOG an autonomously navigating vehicle based on road detection for unstructured road
6 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Rajiv Gandhi University of Knowledge Technologies

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago