TY - JOUR AU - Kovács, Lóránt AU - Bódis, Balázs M. AU - Benedek, Csaba TI - LidPose: Real-Time 3D Human Pose Estimation in Sparse Lidar Point Clouds with Non-Repetitive Circular Scanning Pattern JF - SENSORS J2 - SENSORS-BASEL VL - 24 PY - 2024 IS - 11 SP - 3427 SN - 1424-8220 DO - 10.3390/s24113427 UR - https://m2.mtmt.hu/api/publication/34881244 ID - 34881244 AB - In this paper, we propose a novel, vision-transformer-based end-to-end pose estimation method, LidPose, for real-time human skeleton estimation in non-repetitive circular scanning (NRCS) lidar point clouds. Building on the ViTPose architecture, we introduce novel adaptations to address the unique properties of NRCS lidars, namely, the sparsity and unusual rosetta-like scanning pattern. The proposed method addresses a common issue of NRCS lidar-based perception, namely, the sparsity of the measurement, which needs balancing between the spatial and temporal resolution of the recorded data for efficient analysis of various phenomena. LidPose utilizes foreground and background segmentation techniques for the NRCS lidar sensor to select a region of interest (RoI), making LidPose a complete end-to-end approach to moving pedestrian detection and skeleton fitting from raw NRCS lidar measurement sequences captured by a static sensor for surveillance scenarios. To evaluate the method, we have created a novel, real-world, multi-modal dataset, containing camera images and lidar point clouds from a Livox Avia sensor, with annotated 2D and 3D human skeleton ground truth. LA - English DB - MTMT ER - TY - CONF AU - Kovács, Lóránt AU - Kégl, Marcell AU - Benedek, Csaba TI - Real-time foreground segmentation for surveillance applications in sequences from a Non-repetitive Circular Scanning Lidar T2 - Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája PY - 2023 UR - https://m2.mtmt.hu/api/publication/34693946 ID - 34693946 LA - English DB - MTMT ER - TY - CONF AU - Kégl, Marcell AU - Kovács, Lóránt AU - Benedek, Csaba TI - Real-Time Surveillance Application for NRCS Lidar Sequences T2 - Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája PY - 2023 UR - https://m2.mtmt.hu/api/publication/34693938 ID - 34693938 LA - English DB - MTMT ER - TY - CONF AU - Madaras, Vilmos AU - López-Linares Román, K AU - Benedek, Csaba TI - Abdominal aortic aneurysm segmentation and analysis from CTA images T2 - Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája PY - 2023 SP - 1 EP - 18 PG - 18 UR - https://m2.mtmt.hu/api/publication/34683873 ID - 34683873 LA - English DB - MTMT ER - TY - JOUR AU - Ibrahim, Yahya AU - Szulovszky, Péter AU - Benedek, Csaba TI - Masonry Structure Analysis, Completion and Style Transfer Using a Deep Neural Network JF - LECTURE NOTES IN COMPUTER SCIENCE J2 - LNCS VL - 13645 PY - 2023 SP - 155 EP - 168 PG - 14 SN - 0302-9743 DO - 10.1007/978-3-031-37731-0_13 UR - https://m2.mtmt.hu/api/publication/34106643 ID - 34106643 LA - English DB - MTMT ER - TY - JOUR AU - H. Zováthi, Örkény Ádám AU - Pálffy, Balázs AU - Jankó, Zsolt AU - Benedek, Csaba TI - ST-DepthNet: A spatio-temporal deep network for depth completion using a single non-repetitive circular scanning Lidar JF - IEEE ROBOTICS AND AUTOMATION LETTERS J2 - IEEE ROBOT AUTOM LETT VL - 8 PY - 2023 IS - 6 SP - 3270 EP - 3277 PG - 8 SN - 2377-3766 DO - 10.1109/LRA.2023.3266670 UR - https://m2.mtmt.hu/api/publication/33749450 ID - 33749450 N1 - Eötvös Loránd Research Network, Institute for Computer Science and Control (SZTAKI), Budapest, 1111, Hungary Péter Pázmány Catholic University, Budapest, 1083, Hungary Cited By :1 Export Date: 20 September 2023 Correspondence Address: Zovathi, O.; Eötvös Loránd Research Network, Hungary; email: zovathi.orkeny@sztaki.hu LA - English DB - MTMT ER - TY - JOUR AU - Ibrahim, Yahya AU - Benedek, Csaba TI - MVPCC-Net: Multi-View Based Point Cloud Completion Network for MLS data JF - IMAGE AND VISION COMPUTING J2 - IMAGE VISION COMPUT VL - 134 PY - 2023 PG - 13 SN - 0262-8856 DO - 10.1016/j.imavis.2023.104675 UR - https://m2.mtmt.hu/api/publication/33745713 ID - 33745713 N1 - Cited By :1 Export Date: 4 October 2023 CODEN: IVCOD Correspondence Address: Ibrahim, Y.; Institute for Computer Science and Control (SZTAKI), Kende u. 13, Hungary; email: ibrahim.yahya@sztaki.hu LA - English DB - MTMT ER - TY - CHAP AU - Ibrahim, Yahya AU - Nagy, Balázs AU - Benedek, Csaba TI - Multi-view Based 3D Point Cloud Completion Algorithm for Vehicles T2 - 2022 26th International Conference on Pattern Recognition (ICPR) PB - IEEE CY - Piscataway (NJ) SN - 9781665490627 PY - 2022 SP - 2121 EP - 2127 PG - 7 DO - 10.1109/ICPR56361.2022.9956459 UR - https://m2.mtmt.hu/api/publication/33288670 ID - 33288670 LA - English DB - MTMT ER - TY - CHAP AU - H. Zováthi, Örkény Ádám AU - Pálffy, Balázs AU - Benedek, Csaba TI - Real-time Vehicle Localization and Pose Tracking in High-Resolution 3D Maps T2 - 2022 30th European Signal Processing Conference (EUSIPCO) PB - European Association for Signal Processing (EURASIP) CY - Belgrade SN - 9789082797091 T3 - European Signal Processing Conference, ISSN 2219-5491 ; 2022-August. PY - 2022 SP - 1786 EP - 1790 PG - 5 DO - 10.23919/EUSIPCO55093.2022.9909654 UR - https://m2.mtmt.hu/api/publication/33240891 ID - 33240891 N1 - Institute for Computer Science and Control (SZTAKI), Machine Perception Research Laboratory, Budapest, Hungary Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary Conference code: 183617 Export Date: 5 December 2022 LA - English DB - MTMT ER - TY - JOUR AU - Benedek, Csaba TI - Multi-sensorial Environment Perception in Urban Environment JF - COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE J2 - COMMUN COMPUT INFORM SCI VL - 1667 PY - 2022 SP - 1 EP - 24 PG - 24 SN - 1865-0929 DO - 10.1007/978-3-031-19650-8_1 UR - https://m2.mtmt.hu/api/publication/33229490 ID - 33229490 LA - English DB - MTMT ER -