Johan Wahlstrom
Interests
Signal processing with applications in navigation.
Biography
Johan Wahlström was a postdoc researcher at Oxford University between January 2018 and June 2020, working on indoor navigation for emergency responders.
Johan received his MSc degree in Engineering Physics and PhD degree in Electrical Engineering from KTH Royal Institute of Technology, Stockholm, Sweden, in 2014 and 2017, respectively.
Reproducible Research
FootSLAM meets Adaptive Thresholding
Selected Publications
-
FootSLAM meets Adaptive Thresholding
Johan Wahlström‚ Andrew Markham and Niki Trigoni
In IEEE Sensors Journal. 2020.
Details about FootSLAM meets Adaptive Thresholding | BibTeX data for FootSLAM meets Adaptive Thresholding
-
DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination
M.R.U. Saputra P.P.B. de Gusmao C.X. Lu Y. Almalioglu S. Rosa C. Chen J. Wahlstrom W. Wang A. Markham and N. Trigoni
In IEEE Robotics and Automation Letters (RAL) + IEEE ICRA. 2020.
Details about DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | BibTeX data for DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | Download (pdf) of DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination
-
Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units
Changhao Chen‚ Chris Xiaoxuan Lu‚ Johan Wahlstrom‚ Andrew Markham and Niki Trigoni
In IEEE Transactions on Mobile Computing. 2020.
Details about Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units | BibTeX data for Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units | Download (pdf) of Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units