Andreas Pfrunder
ETH Zurich, Commonwealth Scientific and Industrial Research Organisation
Papers
5
Total Citations
188
H-Index
5
About
Andreas Pfrunder is a leading researcher in field robotics, specializing in autonomous navigation, 3D LiDAR localization, and sensor fusion for mobile robots. His most influential work, "Real-time autonomous ground vehicle navigation in heterogeneous environments using a 3D LiDAR" (79 citations), introduced a complete waypoint navigation framework that enables unmanned ground vehicles to drive autonomously without GPS or artificial landmarks, a critical advancement for field robotics. He further advanced long-term localization with "PoseMap: Lifelong, Multi-Environment 3D LiDAR Localization" (57 citations), which extracts distinctive features from range measurements to enable reliable robot positioning in dynamic environments. Pfrunder has also made notable contributions to aerial robotics, demonstrating visual teach-and-repeat navigation on a quadrocopter, and to open-source hardware with VersaVIS, a versatile multi-camera visual-inertial sensor suite. His work on environment-aware sensor fusion for obstacle detection (14 citations) shows his commitment to improving robotic perception through intelligent integration of multiple sensors. With over 188 total citations, Pfrunder's research directly addresses the fundamental challenges of real-world autonomous navigation, making him a key figure in the development of robots that can operate reliably in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2PoseMap: Lifelong, Multi-Environment 3D LiDAR Localization57 citations · 2018
- 3
- 4VersaVIS—an open versatile multi-camera visual-inertial sensor suite15 citations · 2020
- 5Environment-aware sensor fusion for obstacle detection14 citations · 2016