Janne Haverinen
Papers
16
Total Citations
573
H-Index
8
About
Janne Haverinen is a robotics and autonomous systems researcher best known for pioneering the use of ambient magnetic fields for indoor localization and mapping. His most influential contribution, "Global Indoor Self-Localization Based on the Ambient Magnetic Field" (2009), has accumulated over 250 citations and established magnetic field anomalies as a viable, infrastructure-free alternative to traditional GPS and Wi-Fi-based positioning systems. Haverinen demonstrated that the subtle, stable distortions in Earth's magnetic field caused by steel structures, electrical systems, and building materials could serve as reliable navigational fingerprints inside buildings. Building on this foundation, he developed magnetic field-based SLAM (Simultaneous Localization and Mapping) approaches, employing sophisticated techniques such as Rao-Blackwellized particle filters and Gaussian Process regression to enable robots to map and navigate unfamiliar indoor environments autonomously. His work found direct practical application in mobile robot floor-cleaning scenarios, bridging theoretical elegance with real-world deployment. Beyond localization, Haverinen has contributed to swarm robotics hardware design, infrared pose estimation systems, and near-optimal exploration strategies. His broader research career spans embedded systems, neural adaptation models, and autonomous vehicle control, reflecting a versatile trajectory rooted in making robots smarter, more self-sufficient, and practically deployable.
Research Focus
Key Achievements
Top Papers
- 1Global indoor self-localization based on the ambient magnetic field251 citations · 2009
- 2
- 3Simultaneous localization and mapping using ambient magnetic field84 citations · 2010
- 4
- 5
- 6Near-optimal SLAM exploration in Gaussian processes15 citations · 2010
- 7An Infrared Location System for Relative Pose Estimation of Robots13 citations · 2008
- 8
- 9
- 10