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Zoltan Rozsa
Zoltan Rozsa
Researcher, SZTAKI, Institute for Computer Science and Control, Hungary
Verified email at sztaki.hu
Title
Cited by
Cited by
Year
Obstacle prediction for automated guided vehicles based on point clouds measured by a tilted LIDAR sensor
Z Rozsa, T Sziranyi
IEEE Transactions on Intelligent Transportation Systems 19 (8), 2708-2720, 2018
812018
Positioning and perception in LIDAR point clouds
C Benedek, A Majdik, B Nagy, Z Rozsa, T Sziranyi
Digital Signal Processing 119, 103193, 2021
332021
Object detection from a few LIDAR scanning planes
Z Rozsa, T Sziranyi
IEEE Transactions on Intelligent Vehicles 4 (4), 548-560, 2019
232019
Extensions of the activity chain optimization method
D Esztergár-Kiss, Z Rózsa, T Tettamanti
Journal of Urban Technology 25 (2), 125-142, 2018
162018
Development of an intelligent path planning method for materials handling machinery at construction sites
G Bohács, A Gyimesi, Z Rózsa
Periodica Polytechnica Transportation Engineering 44 (1), 13-22, 2016
142016
An activity chain optimization method with comparison of test cases for different transportation modes
D Esztergár-Kiss, Z Rózsa, T Tettamanti
Transportmetrica A: transport science 16 (2), 293-315, 2020
122020
Simulation results for a daily activity chain optimization method
D Esztergár-Kiss, Z Rózsa
2015 International Conference on Models and Technologies for Intelligent …, 2015
82015
Immediate vehicle movement estimation and 3D reconstruction for Mono cameras by utilizing epipolar geometry and direction prior
Z Rozsa, M Golarits, T Sziranyi
IEEE Transactions on Intelligent Transportation Systems 23 (12), 23548-23558, 2022
52022
Exploring in partial views: Prediction of 3D shapes from partial scans
Z Rozsa, T Szirányi
2016 12th IEEE International Conference on Control and Automation (ICCA …, 2016
52016
Comparative analysis of test cases of the activity chain optimization method
D Esztergár-Kiss, Z Rózsa, T Tettamanti
Transportation Research Procedia 27, 286-293, 2017
42017
Survey on Vehicle/Fleet Tracking Methods Applied in the Transportation and Construction Industry
G Kovács, Z Rózsa
Periodica Polytechnica Transportation Engineering 43 (3), 154-161, 2015
42015
Mono Camera Based Pallet Detection and Pose Estimation for Automated Guided Vehicles
G Bohacs, Z Rozsa, B Bertalan
LISS 2020: Proceedings of the 10th International Conference on Logistics …, 2021
32021
Localization of map changes by exploiting SLAM residuals
Z Rozsa, M Golarits, T Sziranyi
Advanced Concepts for Intelligent Vision Systems: 20th International …, 2020
32020
Virtually increasing the measurement frequency of LIDAR sensor utilizing a single RGB camera
Z Rozsa, T Sziranyi
arXiv preprint arXiv:2302.05192, 2023
22023
Street object classification via LIDARs with only a single or a few layers
Z Rózsa, T Szirányi
2018 IEEE International Conference on Image Processing, Applications and …, 2018
22018
Optical Flow and Expansion Based Deep Temporal Up-Sampling of LIDAR Point Clouds
Z Rozsa, T Sziranyi
Remote Sensing 15 (10), 2487, 2023
12023
Temporal Up-Sampling of LIDAR Measurements Based on a Mono Camera
Z Rozsa, T Sziranyi
International Conference on Image Analysis and Processing, 51-64, 2022
12022
Utcai objektumok osztályozása LIDAR adatokon csak egyetlen vagy néhány síkból
Z Rózsa, T Szirányi
12019
Object detection from partial view street data
Z Rozsa, T Szirányi
2016 International Workshop on Computational Intelligence for Multimedia …, 2016
12016
Application of a hybrid MCDM method in construction logistics
Z Rózsa, B Sztrapkovics
Advanced Logistic Systems-Theory and Practice 9 (1), 17-29, 2015
12015
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