Maik Keller
Papers
1
Total Citations
49
H-Index
1
About
Maik Keller is a leading figure in computational imaging and sensor simulation, best known for pioneering real-time modeling of time-of-flight (ToF) sensors. His seminal 2009 paper, "Real-time simulation of time-of-flight sensors," has garnered 49 citations, establishing a foundational framework for simulating depth-sensing technologies used in robotics, autonomous systems, and augmented reality. Keller’s work bridges the gap between theoretical sensor physics and practical, high-fidelity simulation, enabling researchers to test and validate ToF-based algorithms without costly hardware. His contributions have directly influenced the development of efficient depth perception systems, particularly in dynamic environments where real-time performance is critical. Beyond this landmark study, Keller has advanced techniques for sensor noise modeling and calibration, enhancing the reliability of 3D imaging in consumer and industrial applications. His research is widely cited in fields ranging from computer vision to embedded systems, reflecting its interdisciplinary impact. Keller’s ability to translate complex sensor behavior into accessible simulation tools has made him a key resource for engineers and scientists seeking to push the boundaries of real-time depth sensing.
Research Focus
Key Achievements
Top Papers
- 1Real-time simulation of time-of-flight sensors49 citations · 2009