Jonathan Leang

University of Washington

Papers

2

Total Citations

13

H-Index

2

About

Jonathan Leang’s research lies at the intersection of underwater imaging, robotics, and haptic feedback, with a focus on enabling precise three-dimensional depth perception in challenging aquatic environments. His major contributions center on adapting and validating depth-sensing technologies—specifically Time of Flight (ToF) and structured light methods—for underwater use. In his most-cited work (11 citations), he demonstrated how a modified commercial ToF camera could produce accurate underwater depth measurements and point cloud images, directly supporting robotic navigation and haptic feedback systems. A subsequent study (2 citations) advanced this by developing an RGB-D camera tailored for a robotic ordnance recovery system, integrating video and depth data to improve operator control. Though his citation counts are modest, Leang’s work is notable for tackling a difficult engineering problem: bringing reliable, real-time 3D sensing to underwater environments where traditional optical methods fail. His contributions provide a practical foundation for future research in underwater robotics, autonomous navigation, and teleoperation, making his work a valuable reference for students and engineers exploring depth perception beyond terrestrial settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Using a Time of Flight method for underwater 3-dimensional depth measurements and point cloud imaging
11 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Washington

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago