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András Majdik

Researcher
Institute for Computer Science and Control
Széchenyi Plusz RRF

Currently, I am a researcher with Prof. Tamás Szirányi and I am the Leader of the Robot localization group of Machine Perception Research Laboratory, Computer and Automation Institute of Hungarian Academy of Sciences, Hungary.

Previously, I was a postdoctoral researcher with Davide Scaramuzza at the Robotics and Perception Group, University of Zurich, Switzerland. I received my Ph.D. in 2011 form the Technical University of Cluj-Napoca (TU Cluj) in the field of Simultaneous Localization and Mapping of mobile robots. My Ph.D. thesis was co-advised by Prof. Gheorghe Lazea, Robotics Research Group, TU Cluj, Romania, and Prof. José A. Castellanos, Robotics, Perception and Real Time Group, University of Zaragoza, Spain.

My research interests include spatial AI, semantic scene understanding, neural representations, and their applications to mobile robots.

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Selected publications

  • D. Rozenberszki, A. Majdik, "LOL: Lidar-only Odometry and Localization in 3D point cloud maps*," 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 4379-4385, 2020.
  • K. Harsányi, A. Kiss, T. Szirányi, and A. Majdik, “MASAT: A fast and robust algorithm for pose-graph initialization,” PATTERN RECOGNITION LETTERS, vol. 129, pp. 131–136, 2020, IF: 3.255, SJR Scopus - Computer Vision and Pattern Recognition: Q1.
  • K. Harsányi, A. Kiss, A. Majdik, and T. Sziranyi, “A Hybrid CNN Approach for Single Image Depth Estimation: A Case Study,” in Multimedia and Network Information Systems. Proceedings of the 11th International Conference MISSI 2018, Advances in Intelligent Systems and Computing book series, pp. 372–381, AISC Springer, 2018.
  • A. Majdik, D. Verda, Y. Albers‐Schoenberg, and D. Scaramuzza, “Air‐ground Matching: Appearance‐based GPS‐denied Urban Localization of Micro Aerial Vehicles,” JOURNAL OF FIELD ROBOTICS, vol. 32, no. 7, pp. 1015–1039, 2015, IF: 2.059, SJR Scopus - Computer Science Applications: Q1.
  • A. Majdik, D. Gálvez-López, G. Lazea, and J. Castellanos, “Adaptive appearance based loop-closing in heterogeneous environments,” in IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics (IROS), pp. 1256–1263, 2011.

 

 

 

 

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