Charles Hamesse

Royal Military Academy

Papers

1

Total Citations

2

H-Index

1

About

Charles Hamesse is a leading researcher at the intersection of robotics, computer vision, and humanitarian technology. His primary focus lies in developing autonomous systems for critical real-world applications, with a particular emphasis on humanitarian demining. Hamesse’s most notable contribution is the creation of the "MineInsight" dataset, a pioneering multi-sensor resource designed to advance computer vision for landmine detection in challenging off-road environments. This work directly addresses a critical gap in the field—the lack of diverse, realistic data for validating detection algorithms—and has already garnered early citations, signaling its growing importance. By providing a robust benchmark, Hamesse enables the research community to develop more reliable and safer robotic systems for clearing landmines, a technology with profound humanitarian impact. His work not only pushes the boundaries of field robotics but also demonstrates how engineering innovation can be directly applied to saving lives and restoring safety in post-conflict regions.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
MineInsight: A Multi-Sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Royal Military Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago