We are very pleased that three contributions from the Institute of Mechatronic Systems (imes) have been accepted for the IFAC World Congress 2026. The papers will be presented in August 2026 in Busan, South Korea. Congratulations to all contributing authors!
The three papers focus on state estimation, anomaly detection, and virtual sensing in automotive engineering:
Time-Series Anomaly Detection for Mobile Robots in Automotive Active Safety Testing using an RNN-VAE
Henrik Meyer, Karsten Raguse, Armando Walter Colombo, Thomas Seel, Simon F. G. Ehlers
This contribution investigates a data-driven approach for detecting anomalies in time series of mobile robots in the context of active automotive safety testing. Using an RNN-VAE model, deviations in system behavior can be identified and assessed at an early stage.
Neural Network-Based Virtual Wheel-Speed Sensor for Enhanced Low-Velocity State Estimation
Hendrik Schäfke, Daniel O. M. Weber, Askar Vagapov, Christoph Schweers, Thomas Seel, Simon F. G. Ehlers
This paper presents a neural network for implementing a virtual wheel-speed sensor. The goal is to improve state estimation at low velocities, where conventional sensor signals are often inaccurate.
Reduced-complexity vehicle mass estimation using series-production sensors validated with static and dynamic experimental data
Carlos Wübbeler, Simon F. G. Ehlers, Thomas Seel, Clemens Westerkamp, Frederic Böhse, Alexander Lundberg, Daniel O. M. Weber
This contribution addresses the estimation of vehicle-related states, particularly vehicle mass.
We sincerely thank everyone involved for their great commitment and excellent collaboration. Special thanks go to all contributors who played a key role in the success of these works. We look forward to the presentations at the IFAC World Congress 2026 in Busan.