Thorsten Liepert

West Coast University of Applied Sciences

Papers

Total Citations

H-Index

About

Thorsten Liepert is a researcher specializing in robot vision systems and three-dimensional imaging technologies, with a particular focus on time-of-flight (TOF) camera systems and their practical integration into robotic applications. His work has made meaningful contributions to the field of 3D machine vision, most notably by exploring the capabilities and limitations of TOF-based depth sensing as an alternative to conventional stereo vision approaches. Liepert's most recognized contributions center on the development and analysis of 3D TOF camera systems integrated into robot vision pipelines. His 2007 and 2008 papers on this topic — accumulating 33 and 38 citations respectively — laid out foundational mathematical frameworks for depth acquisition and provided systematic comparisons between TOF and stereo vision technologies, helping researchers and engineers understand the practical trade-offs between these competing approaches. By highlighting both the strengths and shortcomings of TOF systems in real-world robotic contexts, his work offered valuable guidance for practitioners designing vision-guided robotic systems. For students and researchers entering the fields of computer vision and robotics, Liepert's contributions represent an important early effort to rigorously evaluate emerging depth-sensing technologies, helping to establish TOF cameras as a credible and increasingly practical tool in intelligent robotic systems.