About

Shahriar Negahdaripour is a pioneer in underwater robotics vision, whose work bridges classical photogrammetry and modern autonomous navigation. His most influential contribution is the 1988 paper "Closed-form solution of absolute orientation using orthonormal matrices," which has garnered over 1,147 citations and remains a foundational method for computing 3D coordinate transformations in stereophotogrammetry and robotics. Building on this, his research focuses on visual motion estimation, particularly for challenging underwater environments. He has developed robust techniques for 3D motion recovery from 2D forward-scan sonar video, enabling visual odometry for autonomous underwater vehicles (AUVs) operating in turbid waters where traditional cameras fail. His work on real-time vision-based stationkeeping systems (2002) and integrated 6-DOF positioning using planar terrain motion estimation (2006) has directly supported ROV/AUV operations for exploration, inspection, and mapping. Negahdaripour has also advanced optical sensing for undersea vehicles and addressed sonar video coding for real-time transmission. With over 1,300 total citations across his most-cited works, his contributions have profoundly impacted underwater robotics, providing the theoretical and practical tools for autonomous navigation in some of the most challenging environments on Earth.

Research Focus

Key Achievements

8
H-Index
15
Papers
1,321
Total Citations
88
Avg Citations/Paper
🏆 Most Cited Paper
Closed-form solution of absolute orientation using orthonormal matrices
1,147 citations · 1988
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Massachusetts Institute of Technology, University of Miami, University of Hawaii System, Miami University, University of Maryland, College Park

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago