Nicolas S. Baumann
Papers
2
Total Citations
8
H-Index
2
About
Nicolas S. Baumann is a researcher at the forefront of autonomous systems and infrastructure health monitoring, with a focus on sensor robustness and real-time defect detection. His work addresses critical challenges in two key areas: the reliability of perception sensors for autonomous vehicles and automated structural inspection. In his 2023 study on autonomous vehicle sensors, Baumann experimentally assessed LiDAR, radar, and depth cameras against ill-reflecting surfaces—a secondary but hazardous condition—highlighting vulnerabilities that could compromise safety in real-world driving. This work, garnering 5 citations, underscores his contribution to making autonomous systems more resilient. Concurrently, Baumann developed a robust, real-time hyper-spectral sensor-fusion model for concrete crack segmentation, targeting the costly and labor-intensive task of inspecting civil infrastructure like bridges and dams. This data-driven approach, with 3 citations, offers a path toward automated damage tracking, enhancing reliability and safety. Baumann’s research bridges sensor technology and practical deployment, demonstrating impact through experimental rigor and innovative modeling. His achievements position him as a rising voice in advancing both autonomous navigation and infrastructure longevity.
Research Focus
Key Achievements
Top Papers
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- 2