Papers
1
Total Citations
3
H-Index
1
About
Maik Beer is a researcher focused on advancing LiDAR technology for applications in robotics, automation, and autonomous driving. His work centers on developing robust, high-performance time-of-flight (ToF) sensors capable of operating reliably under challenging real-world conditions, particularly high ambient light. His most cited paper, "Measurement concept for direct time-of-flight sensors at high ambient light" (2019), introduces a novel measurement approach that addresses a critical limitation in conventional LiDAR systems: performance degradation in bright sunlight. By proposing a concept that enhances signal detection and noise rejection, Beer’s contribution helps enable safer and more dependable 3D environmental monitoring for autonomous systems. While his citation count is still growing, this work represents a foundational step toward practical, eye-safe LiDAR solutions using near-infrared light sources. Beer’s research is particularly relevant for engineers and scientists working on sensor fusion, perception systems, and the next generation of autonomous vehicles, where robust depth sensing in variable lighting is essential for real-world deployment.
Research Focus
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Top Papers
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