Peter Wellig

Papers

Total Citations

148

H-Index

About

Peter Wellig is a leading researcher in acoustic detection and counter-drone technologies, with a particular focus on developing advanced sensor systems for security and defense applications. His seminal 2015 work on "Detection and tracking of drones using advanced acoustic cameras" (148 citations) established foundational methods for identifying and tracking unmanned aerial vehicles using sound-based surveillance, addressing the critical gap in countermeasures against unauthorized drone incursions over sensitive sites like city centers, government buildings, and nuclear facilities. Wellig's contributions have been instrumental in advancing passive acoustic monitoring as a viable alternative to radar and optical systems, particularly for small, low-flying drones that evade traditional detection. His research integrates signal processing, array processing, and machine learning to enhance the sensitivity and accuracy of acoustic cameras in noisy environments. Beyond this landmark paper, Wellig has published extensively on multi-sensor fusion and real-time threat assessment, earning recognition from defense and security agencies. His work continues to shape the development of practical, deployable counter-UAS systems, making him a key figure in the field of acoustic surveillance and drone security.