Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation. - Eldar Sabanovic; Vidas Zuraulis; Olegas Prentkovskis; Viktor Skrickij (Sensors, 2020)

Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications. - Dachuan Shi; Eldar Sabanovic; Luca Rizzetto; Viktor Skrickij; Roberto Oliverio; Nadia Kaviani; Yunguang Ye; Gintautas Bureika; Stefano Ricci; Markus Hecht (CoRR, 2021)

Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation. - Eldar Sabanovic; Paulius Kojis; Sarunas Sukevicius; Barys N. Shyrokau; Valentin G. Ivanov; Miguel Dhaens; Viktor Skrickij (Sensors, 2021)

Visual Measurement System for Wheel-Rail Lateral Position Evaluation. - Viktor Skrickij; Eldar Sabanovic; Dachuan Shi; Stefano Ricci; Luca Rizzetto; Gintautas Bureika (Sensors, 2021)

Development and Evaluation of Artificial Neural Networks for Real-World Data-Driven Virtual Sensors in Vehicle Suspension. - Eldar Sabanovic; Paulius Kojis; Valentin G. Ivanov; Miguel Dhaens; Viktor Skrickij (IEEE Access, 2024)

Review of Integrated Chassis Control Techniques for Automated Ground Vehicles. - Viktor Skrickij; Paulius Kojis; Eldar Sabanovic; Barys N. Shyrokau; Valentin G. Ivanov (Sensors, 2024)

In-vehicle snesors, IMU, and Unsprung Mass vertical velocities measurements dataset from semi-active vehicle. - Eldar Sabanovic; Paulius Kojis; Valentin G. Ivanov; Miguel Dhaens; Viktor Skrickij (IEEE DataPort, 2024)

Development and Validation of a Vehicle Corner Test Rig Designed for Hardware-in-the-Loop Testing. - Paulius Kojis; Viktor Skrickij; Valentin G. Ivanov; Eldar Sabanovic; Marijonas Bogdevicius; Tomas Grikenis (VEHITS, 2025)