Gunnar Briese

Fraunhofer Institute for High Frequency Physics and Radar Techniques

Papers

Total Citations

H-Index

About

Gunnar Briese is a robotics researcher specializing in sensor fusion and 3D perception for autonomous systems operating in challenging environments. His primary research focuses on integrating LiDAR and radar data to enable robust simultaneous localization and mapping (SLAM), particularly in harsh conditions where traditional sensors fail. His most cited work, "Fusing LiDAR and Radar Data to Perform SLAM in Harsh Environments" (2017, 20 citations), introduces a novel approach that combines the complementary strengths of these sensors—LiDAR’s high resolution with radar’s resilience to adverse weather—to maintain accurate localization in degraded visual conditions. Briese also contributed to millimeter-wave radar system design, co-authoring "3D Mechanically Pivoting Radar System using FMCW Approach" (2018), which presents an 80 GHz radar system capable of generating 3D images through mechanical rotation in azimuth and elevation. This system, achieving a 3dB spread for single reflectors, has applications in robotic mapping, localization, and security scanning. While his citation count reflects an emerging career, Briese’s work addresses a critical gap in autonomous navigation, offering practical solutions for field robotics in fog, dust, or darkness. His research continues to influence sensor fusion strategies for resilient perception systems.