Simulation results for a daily activity chain optimization method. - Domokos Esztergár-Kiss; Zoltan Rozsa (MT-ITS, 2015)

Exploring in partial views: Prediction of 3D shapes from partial scans. - Zoltan Rozsa; Tamás Szirányi (ICCA, 2016)

Object detection from partial view street data. - Zoltan Rozsa; Tamás Szirányi (IWCIM, 2016)

Street object classification via LIDARs with only a single or a few layers. - Zoltan Rozsa; Tamás Szirányi (IPAS, 2018)

Obstacle Prediction for Automated Guided Vehicles Based on Point Clouds Measured by a Tilted LIDAR Sensor. - Zoltan Rozsa; Tamás Szirányi (IEEE Trans. Intell. Transp. Syst., 2018)

Object Detection From a Few LIDAR Scanning Planes. - Zoltan Rozsa; Tamás Szirányi (IEEE Trans. Intell. Veh., 2019)

Localization of Map Changes by Exploiting SLAM Residuals. - Zoltan Rozsa; Marcell Golarits; Tamás Szirányi (ACIVS, 2020)

Water Hazard Depth Estimation for Safe Navigation of Intelligent Vehicles. - Zoltan Rozsa; Marcell Golarits; Tamás Szirányi (VEHITS, 2021)

Positioning and perception in LIDAR point clouds. - Csaba Benedek; Andras Majdik; Balázs Nagy; Zoltan Rozsa; Tamás Szirányi (Digit. Signal Process., 2021)

Temporal Up-Sampling of LIDAR Measurements Based on a Mono Camera. - Zoltan Rozsa; Tamás Szirányi (ICIAP (2), 2022)

Immediate Vehicle Movement Estimation and 3D Reconstruction for Mono Cameras by Utilizing Epipolar Geometry and Direction Prior. - Zoltan Rozsa; Marcell Golarits; Tamás Szirányi (IEEE Trans. Intell. Transp. Syst., 2022)

Virtually increasing the measurement frequency of LIDAR sensor utilizing a single RGB camera. - Zoltan Rozsa; Tamás Szirányi (CoRR, 2023)

Optical Flow and Expansion Based Deep Temporal Up-Sampling of LIDAR Point Clouds. - Zoltan Rozsa; Tamás Szirányi (Remote. Sens., 2023)

Building a knowledge sharing climate amid shadows of sabotage: a microfoundational perspective into job satisfaction and knowledge sabotage. - Francesco Antonio Perotti; Zoltan Rozsa; Michal Kudej; Alberto Ferraris (J. Knowl. Manag., 2024)