Papers
2
Total Citations
4
H-Index
1
About
Anton Grabmaier is a researcher at the forefront of developing intelligent sensing and assistance systems, with a primary focus on advancing Light Detection and Ranging (LiDAR) technology and applying artificial intelligence to critical healthcare challenges. His most cited work, "Histogram formation and noise reduction in biaxial MEMS-based SPAD light detection and ranging systems" (2022), addresses a fundamental challenge in 3D imaging: improving the reliability and cost-effectiveness of LiDAR systems for demanding applications like autonomous driving and safe human-robot collaboration. By tackling noise reduction in MEMS-based SPAD systems, Grabmaier contributes directly to making compact, high-performance 3D sensors a practical reality. Demonstrating a commitment to socially impactful technology, his work "An User-centred AI-based Assistance System to Encounter Pandemics in Clinical Environments" (2021) explores the design of digital tools to protect medical staff and enhance patient care during health crises. While early in his career, with these papers accumulating initial citations, Grabmaier’s research bridges the gap between robust hardware solutions for perception and user-centered AI for safety, positioning him as a promising innovator in both autonomous systems and clinical technology.
Research Focus
Key Achievements
Top Papers
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