Maximilian Buder
Papers
2
Total Citations
13
H-Index
2
About
Maximilian Buder is a researcher specializing in computer vision and embedded systems, with a focus on real-time depth perception and advanced optical imaging for mobile robotics and space exploration. His key contributions include the development of a dense real-time stereo matching system using a memory-efficient variant of the semi-global matching algorithm on FPGAs, designed to enhance obstacle avoidance, SLAM, and path planning in mobile robotic applications. This work, published in 2012, has garnered 9 citations, highlighting its practical impact in robotics. Buder also advanced the field of computational imaging with a diffraction model of a plenoptic camera for in-situ space exploration, published in 2018. This paper provides a detailed system-theoretical framework to understand plenoptic data recording, building on early 20th-century concepts to enable precise depth and light field analysis in extraterrestrial environments. With 4 citations, this work underscores his ability to bridge theoretical optics and real-world deployment. Buder’s research demonstrates a commitment to solving critical challenges in autonomous navigation and space instrumentation, making him a notable contributor to vision-based systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Diffraction model of a plenoptic camera for in-situ space exploration4 citations · 2018