Viktor Skrickij

According to our database, Viktor Skrickij authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Dataset, June, 2024

Review of Integrated Chassis Control Techniques for Automated Ground Vehicles.

Viktor Skrickij, Paulius Kojis, Eldar Sabanovic, Barys N. Shyrokau, Valentin G. Ivanov

Sensors, January, 2024

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

2021

Visual Measurement System for Wheel-Rail Lateral Position Evaluation.

Viktor Skrickij, Eldar Sabanovic, Dachuan Shi, Stefano Ricci, Luca Rizzetto, Gintautas Bureika

Sensors, 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

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

2020

Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation.

Eldar Sabanovic, Vidas Zuraulis, Olegas Prentkovskis, Viktor Skrickij

Sensors, 2020