38 citations · 65 across the 11 of their papers we have counts for
14 papers
FedeRICo: Federated Region-Influenced Coupling for Traffic Flow Prediction
Fermin Orozco, Man Luo, Johan Wahlström
Urban traffic forecasting often relies on information distributed across stakeholders who may be unable to share raw data due to privacy or commercial constraints, motivating feder…
Estimation of Resistance Training RPE using Inertial Sensors and Electromyography
James Thomas, Johan Wahlström
Accurate estimation of rating of perceived exertion (RPE) can enhance resistance training through personalized feedback and injury prevention. This study investigates the applicati…
Road Roughness Estimation via Fusion of Standard Onboard Automotive Sensors
Martin Agebjär, Gustav Zetterqvist, Fredrik Gustafsson +2
Road roughness significantly affects vehicle vibrations and ride quality. We introduce a Kalman filter (KF)-based method for estimating road roughness in terms of the international…
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks
Rouhollah Ahmadian, Mehdi Ghatee, Johan Wahlström
This study introduces novel superior scoring rules called Penalized Brier Score (PBS) and Penalized Logarithmic Loss (PLL) to improve model evaluation for probabilistic classificat…
A Human-in-the-Middle Attack against Object Detection Systems
Han Wu, Sareh Rowlands, Johan Wahlstrom
Object detection systems using deep learning models have become increasingly popular in robotics thanks to the rising power of CPUs and GPUs in embedded systems. However, these mod…
Adversarial Driving: Attacking End-to-End Autonomous Driving
Han Wu, Syed Yunas, Sareh Rowlands +2
As research in deep neural networks advances, deep convolutional networks become promising for autonomous driving tasks. In particular, there is an emerging trend of employing end-…
Fifteen Years of Progress at Zero Velocity: A Review
Johan Wahlström, Isaac Skog
Fifteen years have passed since the publication of Foxlin's seminal paper "Pedestrian tracking with shoe-mounted inertial sensors". In addition to popularizing the zero-velocity up…
FootSLAM meets Adaptive Thresholding
Johan Wahlstrom, Andrew Markham, Niki Trigoni
Calibration of the zero-velocity detection threshold is an essential prerequisite for zero-velocity-aided inertial navigation. However, the literature is lacking a self-contained c…
Sensor Fusion for Magneto-Inductive Navigation
Johan Wahlström, Manon Kok, Pedro Porto Buarque de Gusmao +3
Magneto-inductive navigation is an inexpensive and easily deployable solution to many of today's navigation problems. By utilizing very low frequency magnetic fields, magneto-induc…
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu +7
Visual odometry shows excellent performance in a wide range of environments. However, in visually-denied scenarios (e.g. heavy smoke or darkness), pose estimates degrade or even fa…
Zero-Velocity Detection - A Bayesian Approach to Adaptive Thresholding
Johan Wahlström, Isaac Skog, Fredrik Gustafsson +2
A Bayesian zero-velocity detector for foot-mounted inertial navigation systems is presented. The detector extends existing zero-velocity detectors based on the likelihood-ratio tes…
Map-aided Dead-reckoning --- A Study on Locational Privacy in Insurance Telematics
Johan Wahlström, Isaac Skog, João G. P. Rodrigues +2
We present a particle-based framework for estimating the position of a vehicle using map information and measurements of speed. Two measurement functions are considered. The first…
The -model for Random Graphs --- Regression, Cramér-Rao Bounds, and Hypothesis Testing
Johan Wahlström, Isaac Skog, Patricio S. La Rosa +2
We develop a maximum-likelihood based method for regression in a setting where the dependent variable is a random graph and covariates are available on a graph-level. The model gen…
Smartphone-based Vehicle Telematics - A Ten-Year Anniversary
Johan Wahlström, Isaac Skog, Peter Händel
Just like it has irrevocably reshaped social life, the fast growth of smartphone ownership is now beginning to revolutionize the driving experience and change how we think about au…