Papers

1

Total Citations

6

H-Index

1

About

Jonas Herzfeld is a robotics researcher whose work centers on advancing perception systems for autonomous machines. His primary research areas include sensor evaluation, depth imaging technologies, and the practical deployment of vision systems in robotics and unmanned vehicles. Herzfeld’s most notable contribution is a comprehensive 2022 study comparing six consumer-grade stereo depth cameras, which systematically evaluated Time-of-Flight, structured light, and stereo vision technologies for robotic applications. This metrological and application-focused analysis has become a key reference for engineers selecting cost-effective depth sensors, earning 6 citations and highlighting the growing importance of stereo cameras in the field. By bridging the gap between sensor specifications and real-world robotic needs, Herzfeld provides critical guidance for integrating affordable perception hardware into autonomous systems. His work underscores the practical challenges of environment sensing, from accuracy benchmarks to operational constraints, making him a valuable voice in the ongoing effort to equip robots with reliable, low-cost vision. For students and researchers, Herzfeld’s research offers a grounded, data-driven perspective on how consumer depth cameras can power the next generation of intelligent machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A metrological and application-related comparison of six consumer grade stereo depth cameras for the use in robotics
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Fraunhofer Center for Maritime Logistics and Services

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago