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2020 – today
- 2024
[j5]Eldar Sabanovic
, Paulius Kojis, Valentin G. Ivanov, Miguel Dhaens, Viktor Skrickij:
Development and Evaluation of Artificial Neural Networks for Real-World Data-Driven Virtual Sensors in Vehicle Suspension. IEEE Access 12: 13183-13195 (2024)- [j4]Viktor Skrickij, Paulius Kojis, Eldar Sabanovic, Barys N. Shyrokau, Valentin G. Ivanov:
Review of Integrated Chassis Control Techniques for Automated Ground Vehicles. Sensors 24(2): 600 (2024) - [d1]Eldar Sabanovic, Paulius Kojis, Valentin G. Ivanov, Miguel Dhaens, Viktor Skrickij:
In-vehicle snesors, IMU, and Unsprung Mass vertical velocities measurements dataset from semi-active vehicle. IEEE DataPort, 2024
- 2021
- [j3]Viktor Skrickij, Eldar Sabanovic, Dachuan Shi, Stefano Ricci, Luca Rizzetto, Gintautas Bureika:
Visual Measurement System for Wheel-Rail Lateral Position Evaluation. Sensors 21(4): 1297 (2021) - [j2]Eldar Sabanovic, Paulius Kojis, Sarunas Sukevicius, Barys N. Shyrokau, Valentin G. Ivanov, Miguel Dhaens, Viktor Skrickij:
Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation. Sensors 21(21): 7139 (2021) - [i1]Dachuan Shi, Eldar Sabanovic, Luca Rizzetto, Viktor Skrickij, Roberto Oliverio, Nadia Kaviani, Yunguang Ye, Gintautas Bureika, Stefano Ricci, Markus Hecht:
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications. CoRR abs/2101.06702 (2021) - 2020
- [j1]Eldar Sabanovic, Vidas Zuraulis, Olegas Prentkovskis, Viktor Skrickij:
Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation. Sensors 20(3): 612 (2020)
Coauthor Index
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