Jann Poppinga
Papers
18
Total Citations
800
H-Index
11
About
Jann Poppinga is a leading researcher in 3D mapping and mobile robotics, with a focus on fast, plane-based registration and SLAM (Simultaneous Localization and Mapping). His major contributions center on developing efficient alternatives to traditional point-based algorithms like ICP, using large planar surface patches extracted from noisy 3D point clouds for robot pose estimation and mapping. His seminal works, "Fast Registration Based on Noisy Planes With Unknown Correspondences for 3-D Mapping" and "Fast plane detection and polygonalization in noisy 3D range images," each have garnered over 210 citations, underscoring their impact on the field. Poppinga also pioneered online 3D SLAM through closed-form pose-graph relaxation, achieving real-time consistency in planar environments, and extended his methods to terrain classification for autonomous navigation and 6-DOF path planning for Autonomous Underwater Vehicles (AUVs). His work has been instrumental in advancing perception for safety, security, and rescue robotics, enabling robots to operate reliably in unstructured, noise-prone settings. With over 700 cumulative citations, Poppinga’s research continues to influence modern 3D sensing and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Fast plane detection and polygonalization in noisy 3D range images211 citations · 2008
- 3
- 4Fast 3D mapping by matching planes extracted from range sensor point-clouds55 citations · 2009
- 5Hough based terrain classification for realtime detection of drivable ground46 citations · 2007
- 6
- 7Fast Detection of Polygons in 3D Point Clouds from Noise-Prone Range Sensors26 citations · 2007
- 83-D perception and modeling25 citations · 2009
- 9
- 10A Characterization of 3D Sensors for Response Robots16 citations · 2010