Martin Magnusson
Papers
57
Total Citations
2,799
H-Index
19
About
Martin Magnusson is a prominent robotics researcher whose work has fundamentally advanced the field of 3D perception and mapping for autonomous mobile systems. His most significant contribution is the development and refinement of the Normal Distributions Transform (NDT), an elegant mathematical framework for representing and registering three-dimensional point cloud data. His 2007 paper on 3D-NDT for autonomous mining vehicles has accumulated an impressive 767 citations, establishing NDT as a foundational technique in robotic mapping, while his doctoral dissertation formalizing the approach has garnered over 374 citations, cementing its broad applicability across medical imaging, archaeology, and mobile robotics. Magnusson has consistently pushed the boundaries of scan-matching methodology, producing comparative evaluations that have shaped best practices in the field and helping researchers navigate algorithmic trade-offs between speed and accuracy. His work extends into socially aware robotics, most notably through the SPENCER project, where he contributed to developing a service robot capable of navigating crowded airport environments—demonstrating his versatility beyond purely geometric problems. With contributions spanning loop detection, change detection for security robots, and colored point cloud registration, Magnusson's cumulative citation record reflects a researcher whose technically rigorous, practically motivated work continues to influence autonomous systems research worldwide.
Research Focus
Key Achievements
Top Papers
- 1Scan registration for autonomous mining vehicles using 3D‐NDT767 citations · 2007
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- 7Beyond points: Evaluating recent 3D scan-matching algorithms85 citations · 2015
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