Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Tamás Szirányi"'
Autor:
Zoltan Rozsa, Tamas Sziranyi
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2487 (2023)
This paper proposes a framework that enables the online generation of virtual point clouds relying only on previous camera and point clouds and current camera measurements. The continuous usage of the pipeline generating virtual LIDAR measurements ma
Externí odkaz:
https://doaj.org/article/51d5b424c7984e94acf67cc12f27a133
Autor:
Chang Liu, Tamás Szirányi
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4355 (2022)
Unmanned aerial vehicle (UAV) vision technology is becoming increasingly important, especially in wilderness rescue. For humans in the wilderness with poor network conditions and bad weather, this paper proposes a technique for road extraction and ro
Externí odkaz:
https://doaj.org/article/50c69b33dcb448e6bbbd91b397ef23fb
Autor:
Chang Liu, Tamás Szirányi
Publikováno v:
Sensors, Vol 21, Iss 6, p 2180 (2021)
Unmanned aerial vehicles (UAVs) play an important role in numerous technical and scientific fields, especially in wilderness rescue. This paper carries out work on real-time UAV human detection and recognition of body and hand rescue gestures. We use
Externí odkaz:
https://doaj.org/article/ed955146c19f4d1fbbbd771bf34a0f72
Publikováno v:
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering.
Publikováno v:
Pattern Recognition Letters. 129:131-136
In this paper, we propose a novel algorithm to compute the initial structure of pose-graph based Simultaneous Localization and Mapping (SLAM) systems. We perform a Breadth-First Search (BFS) on the graph in order to obtain multiple votes regarding th
Autor:
Chang Liu, Tamás Szirányi
Publikováno v:
Proceedings of the 2nd International Conference on Image Processing and Vision Engineering.
Autor:
Tamás Szirányi, Zoltan Rozsa
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 4:548-560
LIDAR sensors enable object and free-space detection for intelligent transportation systems and vehicles. This paper proposes a recognition method for LIDARs based on only a few detection planes. This method is useful especially in the case when the
Autor:
Domonkos Varga, Tamás Szirányi
Publikováno v:
Signal, Image and Video Processing. 13:1569-1576
A general-purpose no-reference video quality assessment algorithm based on a long short-term memory (LSTM) network and a pretrained convolutional neural network (CNN) is introduced. Considering video sequences as a time series of deep features extrac
Publikováno v:
VEHITS
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
ACIVS
Simultaneous Localization and Mapping is widespread in both robotics and autonomous driving. This paper proposes a novel method to identify changes in maps constructed by SLAM algorithms without feature-to-feature comparison. We use ICP-like algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1fff358b4655e05edb23e93e5f06aa6
https://doi.org/10.1007/978-3-030-40605-9_27
https://doi.org/10.1007/978-3-030-40605-9_27