Habib Dhahri

Papers

Total Citations

H-Index

About

Habib Dhahri’s research bridges the critical intersection of autonomous robotics and computer vision, with a focus on enhancing perception in challenging environments. His most-cited work, the 2021 survey “Underwater images contrast enhancement and its challenges” (35 citations), provides a comprehensive taxonomy of methods for restoring visibility in aquatic settings—a fundamental problem for marine robotics and environmental monitoring. Earlier, his 2017 study “Human Expertise in Mobile Robot Navigation” (34 citations) tackled the enduring challenge of autonomous navigation across industries like material handling, manufacturing, security, and transportation. This work stands out for integrating human decision-making strategies into control algorithms, addressing the gap between theoretical autonomy and real-world reliability. By synthesizing decades of research on mobile robot path planning, Dhahri has helped shape how robots interpret complex dynamic environments. His contributions are particularly notable for their practical orientation: rather than pursuing purely theoretical advances, he emphasizes solutions that can be deployed in industrial and field settings. With over 69 total citations from these two key papers alone, Dhahri’s research continues to influence both the robotics and computer vision communities, offering foundational insights for students and engineers working on autonomous systems in visually degraded conditions.