About
Employed as a PhD student at the department since August 2010.
Before starting at the Department of Automatic Control I worked with low-level software development and design for embedded systems.
I received my MSc Engineering Physics degree from Lund university in Feb 2007.
Software
pyParticleEst - Open Source Python framework for particle based estimation
nxt_slam - Software for doing SLAM using Legomindstorms hardware, implemented using python, scipy, numpy and pyParticleEst
Publications
Jerker Nordh: Bayesian Inference for Nonlinear Dynamical Systems — Applications and Software Implementation. PhD Thesis ISRN LUTFD2/TFRT--LUTFD2/TFRT--1107--SE, Department of Automatic Control, Lund University, Sweden, June 2015.
Jerker Nordh: "Rao-Blackwellized Auxiliary Particle Filters for Mixed Linear/Nonlinear Gaussian models". In 12th International Conference on Signal Processing, Hangzhou, China, October 2014.
Karl Berntorp, Jerker Nordh: "Rao-Blackwellized Particle Smoothing for Occupancy-Grid Based SLAM Using Low-Cost Sensors". In 19th IFAC World Congress, Cape Town, South Africa, August 2014.
Jerker Nordh, Karl Berntorp: "pyParticleEst – A Python Framework for Particle Based Estimation". Technical Report ISRN LUTFD2/TFRT--7628--SE, Department of Automatic Control, Lund University, Sweden, March 2013.
Jerker Nordh, Karl Berntorp: "Extending the Occupancy Grid Concept for Low-Cost Sensor Based SLAM". In 10th International IFAC Symposium on Robot Control, Dubrovnik, Croatia, September 2012.
Peter Alriksson, Jerker Nordh, Karl-Erik Årzén, Antonio Bicchi, Alberto Danesi, Riccardo Sciadi, Lucia Pallottino: "A Component-Based Approach to Localization and Collision Avoidance for Mobile Multi-Agent Systems". In Proceedings of the European Control Conference, Kos, Greece, July 2007.
Jerker Nordh: "Ultrasound-based Navigation for Mobile Robots". Master's Thesis ISRN LUTFD2/TFRT--5789--SE, Department of Automatic Control, Lund University, Sweden, February 2007.