Artykuły w czasopismach na temat „Autonomous Train”
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Guo, Yichen. "Design and research of train-centric autonomous control CBTC system". Applied and Computational Engineering 12, nr 1 (25.09.2023): 260–67. http://dx.doi.org/10.54254/2755-2721/12/20230364.
Pełny tekst źródłaAFANASOV, A., D. LINIK, S. ARPUL, D. BELUKHIN i V. VASYLYEV. "PROSPECTS OF USING AUTONOMOUS ELECTRIC TRAINS WITH ONBOARD STORAGE STORES". Transport systems and transportation technologies, nr 23 (28.07.2022): 46. http://dx.doi.org/10.15802/tstt2022/261652.
Pełny tekst źródłaOh, Sehchan, Kyunghee Kim i Hyeonyeong Choi. "Train interval control and train-centric distributed interlocking algorithm for autonomous train driving control system". Journal of the Korea Academia-Industrial cooperation Society 17, nr 11 (30.11.2016): 1–9. http://dx.doi.org/10.5762/kais.2016.17.11.1.
Pełny tekst źródłaAtherton, Mark, Stuart Hill, David Harrison i Marco Ajovalasit. "Economic and technical feasibility of a robotic autonomous system for train fluid servicing". Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, nr 3 (20.02.2019): 338–50. http://dx.doi.org/10.1177/0954409719830520.
Pełny tekst źródłaHadas, Zdenek, Jan Smilek i Ondrej Rubes. "Energy harvesting from passing train as source of energy for autonomous trackside objects". MATEC Web of Conferences 211 (2018): 05003. http://dx.doi.org/10.1051/matecconf/201821105003.
Pełny tekst źródłaHwang, Jong-Gyu, Sung-Yoon Chae, Byung-Hun Lee i Rag-Gyo Jeong. "Design of Train Driving Control System for SITL-based Autonomous Train Control Simulator". Journal of Korean Institute of Information Technology 21, nr 11 (30.11.2023): 71–79. http://dx.doi.org/10.14801/jkiit.2023.21.11.71.
Pełny tekst źródłaKim, Kyung Min, i Suk-Joon Ko. "Path Search for Autonomous Train via Dial Algorithm". Journal of Korean Institute of Communications and Information Sciences 43, nr 4 (30.04.2018): 775–83. http://dx.doi.org/10.7840/kics.2018.43.4.775.
Pełny tekst źródłaLee, Dong-Jin, Ilmu Byun i Rag-Gyo Jeong. "Integrated Antenna Design for Autonomous Train Control System". Journal of the Korean Society for Railway 27, nr 6 (30.06.2024): 492–502. http://dx.doi.org/10.7782/jksr.2024.27.6.492.
Pełny tekst źródłaKim, Hyunkun, Hyeongoo Pyeon, Jong Sool Park, Jin Young Hwang i Sejoon Lim. "Autonomous Vehicle Fuel Economy Optimization with Deep Reinforcement Learning". Electronics 9, nr 11 (13.11.2020): 1911. http://dx.doi.org/10.3390/electronics9111911.
Pełny tekst źródłaJing, Chunhui, Haohong Dai, Xing Yao, Dandan Du, Kaidi Yu, Dongyu Yu i Jinyi Zhi. "Influence of Multi-Modal Warning Interface on Takeover Efficiency of Autonomous High-Speed Train". International Journal of Environmental Research and Public Health 20, nr 1 (25.12.2022): 322. http://dx.doi.org/10.3390/ijerph20010322.
Pełny tekst źródłaChai, Ming, Haoxiang Su i Hongjie Liu. "Long Short-Term Memory-Based Model Predictive Control for Virtual Coupling in Railways". Wireless Communications and Mobile Computing 2022 (3.02.2022): 1–17. http://dx.doi.org/10.1155/2022/1859709.
Pełny tekst źródłaZhou, Yonghua, Zhenlin Zhang i Deng Liu. "Analysis of train movement dynamics under various temporal–spatial constraints in fixed-block railway network using extended cellular automaton model". Modern Physics Letters B 28, nr 08 (26.03.2014): 1450060. http://dx.doi.org/10.1142/s0217984914500602.
Pełny tekst źródłaHao, Yang, Tao Tang i Chunhai Gao. "Train Distance Estimation in Turnout Area Based on Monocular Vision". Sensors 23, nr 21 (27.10.2023): 8778. http://dx.doi.org/10.3390/s23218778.
Pełny tekst źródłaAl-Khafaji, Israa M. Abdalameer, i A. V. Panov. "FEDERATED LEARNING FOR VISION-BASED OBSTACLE AVOIDANCE IN MOBILE ROBOTS". Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 23, nr 3 (2023): 35–47. http://dx.doi.org/10.14529/ctcr230304.
Pełny tekst źródłaBouibed, Kamel, Abdel Aitouche i Mireille Bayart. "Control and Reconguration of Train of Autonomous Electric Vehicles". Journal of Asian Electric Vehicles 10, nr 1 (2012): 1543–51. http://dx.doi.org/10.4130/jaev.10.1543.
Pełny tekst źródłaMahtani, Ankur, Eddy Doba i Nadia Ammad. "The Autonomous Train vision: Embedded AI for pedestrians monitoring". Transportation Research Procedia 72 (2023): 949–56. http://dx.doi.org/10.1016/j.trpro.2023.11.522.
Pełny tekst źródłaGao, Yupeng. "Research on the autonomous train control system based on vehicle-to-vehicle communication". Applied and Computational Engineering 6, nr 1 (14.06.2023): 1495–502. http://dx.doi.org/10.54254/2755-2721/6/20230971.
Pełny tekst źródłaWang, Shen, Thomas Weber i Dieter Schramm. "Simulative Study of an Innovative On-Demand Transport System Using a Realistic German Urban Scenario". Future Transportation 3, nr 1 (30.12.2022): 38–56. http://dx.doi.org/10.3390/futuretransp3010003.
Pełny tekst źródłaGarcía Cuenca, Laura, Enrique Puertas, Javier Fernandez Andrés i Nourdine Aliane. "Autonomous Driving in Roundabout Maneuvers Using Reinforcement Learning with Q-Learning". Electronics 8, nr 12 (13.12.2019): 1536. http://dx.doi.org/10.3390/electronics8121536.
Pełny tekst źródłaGantumur, B., V. A. Prechissky, M. A. Sleptsov i A. A. Barat. "ON THE EFFICIENCY OF USING AUTONOMOUS LOCOMOTIVES ON THE RAILWAYS OF MONGOLIA". World of Transport and Transportation 15, nr 1 (28.02.2017): 100–110. http://dx.doi.org/10.30932/1992-3252-2017-15-1-9.
Pełny tekst źródłaNeto, João Batista Pinto, Lucas de Carvalho Gomes, Miguel Elias Mitre Campista i Luís Henrique Maciel Kosmalski Costa. "An Accurate GNSS-Based Redundant Safe Braking System for Urban Elevated Rail Maglev Trains". Information 11, nr 11 (15.11.2020): 531. http://dx.doi.org/10.3390/info11110531.
Pełny tekst źródłaKwak, Ho-Chan, Ji Young Song, Kyung-Min Kim i Suk Mun Oh. "Dynamic Route Control Algorithm based on Autonomous Train Control System". Journal of the Korean Society for Railway 24, nr 9 (30.09.2021): 793–801. http://dx.doi.org/10.7782/jksr.2021.24.9.793.
Pełny tekst źródłaWeichselbaum, Johann, Christian Zinner, Oliver Gebauer i Wolfgang Pree. "Accurate 3D-vision-based obstacle detection for an autonomous train". Computers in Industry 64, nr 9 (grudzień 2013): 1209–20. http://dx.doi.org/10.1016/j.compind.2013.03.015.
Pełny tekst źródłaWang, Shen, Thomas Weber, Dieter Schramm i Thorben Berns. "Simulation-Based Investigation of On-Demand Vehicle Deployment for Night Bus Routes Using the Monte Carlo Method". Future Transportation 4, nr 2 (9.04.2024): 380–408. http://dx.doi.org/10.3390/futuretransp4020019.
Pełny tekst źródłaArshintsev, Dmitriy, Sergey Tolmachev i Alexander Brzhezovskiy. "The development of service conditions for special-purpose cars based on the results of full-scale tests". Proceedings of Petersburg Transport University, nr 3 (20.09.2018): 455–62. http://dx.doi.org/10.20295/1815-588x-2018-3-455-462.
Pełny tekst źródłaHou, Kaiwen, i George Giannopoulos. "Modeling the Deployment and Management of Large-Scale Autonomous Vehicle Circulation in Mixed Road Traffic Conditions Considering Virtual Track Theory". Future Transportation 4, nr 1 (23.02.2024): 215–35. http://dx.doi.org/10.3390/futuretransp4010011.
Pełny tekst źródłaOppelt, Maximilian P., Andreas Foltyn, Jessica Deuschel, Nadine R. Lang, Nina Holzer, Bjoern M. Eskofier i Seung Hee Yang. "ADABase: A Multimodal Dataset for Cognitive Load Estimation". Sensors 23, nr 1 (28.12.2022): 340. http://dx.doi.org/10.3390/s23010340.
Pełny tekst źródłaHeirich, Oliver, Benjamin Siebler i Erik Hedberg. "Study of Train-Side Passive Magnetic Measurements with Applications to Train Localization". Journal of Sensors 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/8073982.
Pełny tekst źródłaSinghal, Vivek, Divya Anand, Hani Moaiteq Aljahdali, Nitin Goyal, Aman Singh i Seifedine Kadry. "An Intelligent and Autonomous Sight Distance Evaluation Framework for Sustainable Transportation". Sustainability 13, nr 16 (9.08.2021): 8885. http://dx.doi.org/10.3390/su13168885.
Pełny tekst źródłaZanelli, Federico, Marco Mauri, Francesco Castelli-Dezza, Edoardo Sabbioni, Davide Tarsitano i Nicola Debattisti. "Energy Autonomous Wireless Sensor Nodes for Freight Train Braking Systems Monitoring". Sensors 22, nr 5 (27.02.2022): 1876. http://dx.doi.org/10.3390/s22051876.
Pełny tekst źródłaOh, Sehchan, i Young-Jong Cho. "Track Switching Algorithm for the T2T-Based Autonomous Train Control System". Journal of Korean Institute of Communications and Information Sciences 42, nr 11 (30.11.2017): 2160–69. http://dx.doi.org/10.7840/kics.2017.42.11.2160.
Pełny tekst źródłaPiccioni, Cristiana, Stefano Ricci, Arbra Bardhi i Polis Karatzas. "Rail Vehicle Accessibility: Towards an Autonomous Train Usage for All Passengers". Transportation Research Procedia 72 (2023): 3260–67. http://dx.doi.org/10.1016/j.trpro.2023.11.863.
Pełny tekst źródłaXie, Chun Lin. "Research on Applied Technology in Training Autonomous Abilities of Learners". Applied Mechanics and Materials 540 (kwiecień 2014): 556–59. http://dx.doi.org/10.4028/www.scientific.net/amm.540.556.
Pełny tekst źródłaWang, Wencong, Gang Li, Shuwei Liu i Qiang Yang. "Trajectory Planning of a Semi-Trailer Train Based on Constrained Iterative LQR". Applied Sciences 13, nr 19 (23.09.2023): 10614. http://dx.doi.org/10.3390/app131910614.
Pełny tekst źródłaZhou, Yefang, Yanyan Li, Mingyang Hao i Toshiyuki Yamamoto. "A System of Shared Autonomous Vehicles Combined with Park-And-Ride in Residential Areas". Sustainability 11, nr 11 (2.06.2019): 3113. http://dx.doi.org/10.3390/su11113113.
Pełny tekst źródłaHadas, Zdenek, Ondrej Rubes, Filip Ksica i Jan Chalupa. "Kinetic Electromagnetic Energy Harvester for Railway Applications—Development and Test with Wireless Sensor". Sensors 22, nr 3 (25.01.2022): 905. http://dx.doi.org/10.3390/s22030905.
Pełny tekst źródłaWang, Yang, Yihao Chen, Hao Yuan i Cheng Wu. "An automated learning method of semantic segmentation for train autonomous driving environment understanding". International Journal of Advances in Intelligent Informatics 10, nr 1 (29.02.2024): 148. http://dx.doi.org/10.26555/ijain.v10i1.1521.
Pełny tekst źródłaPfeiffer, Christian, Simon Wengeler, Antonio Loquercio i Davide Scaramuzza. "Visual attention prediction improves performance of autonomous drone racing agents". PLOS ONE 17, nr 3 (1.03.2022): e0264471. http://dx.doi.org/10.1371/journal.pone.0264471.
Pełny tekst źródłaLu, Bo, Le Ru, Shiguang Hu, Wenfei Wang, Hailong Xi i Xiaolin Zhao. "Research on Autonomous Manoeuvre Decision Making in Within-Visual-Range Aerial Two-Player Zero-Sum Games Based on Deep Reinforcement Learning". Mathematics 12, nr 14 (10.07.2024): 2160. http://dx.doi.org/10.3390/math12142160.
Pełny tekst źródłaKolmogorov, Aleksey, i Nadezhda Zaytseva. "AUTOMATIC COMPUTER LEARNING SYSTEM THE SIMULATOR". Modern Technologies and Scientific and Technological Progress 2024, nr 1 (22.04.2024): 140–41. http://dx.doi.org/10.36629/2686-9896-2024-1-140-141.
Pełny tekst źródłaPan, Yunpeng, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou i Byron Boots. "Imitation learning for agile autonomous driving". International Journal of Robotics Research 39, nr 2-3 (14.10.2019): 286–302. http://dx.doi.org/10.1177/0278364919880273.
Pełny tekst źródłaV S, Amar. "Autonomous Driving using CNN". International Journal for Research in Applied Science and Engineering Technology 9, nr VI (30.06.2021): 3633–36. http://dx.doi.org/10.22214/ijraset.2021.35771.
Pełny tekst źródłaBAHOV, T. B., i S. A. VOROTNIKOV. "UTILIZATION OF SYNTHETIC DATA FOR SNOW PARTICLES FILTRATION IN A LIDAR POINT CLOUD". IZVESTIA VOLGOGRAD STATE TECHNICAL UNIVERSITY, nr 4(287) (kwiecień 2024): 20–26. http://dx.doi.org/10.35211/1990-5297-2024-4-287-20-26.
Pełny tekst źródłaPose, Sebastian, Stefan Reitmann, Gero Jörn Licht, Thomas Grab i Tobias Fieback. "AI-Prepared Autonomous Freshwater Monitoring and Sea Ground Detection by an Autonomous Surface Vehicle". Remote Sensing 15, nr 3 (3.02.2023): 860. http://dx.doi.org/10.3390/rs15030860.
Pełny tekst źródłaLiu, Mingshuo, Shiyi Luo, Kevin Han, Ronald F. DeMara i Yu Bai. "Autonomous Binarized Focal Loss Enhanced Model Compression Design Using Tensor Train Decomposition". Micromachines 13, nr 10 (14.10.2022): 1738. http://dx.doi.org/10.3390/mi13101738.
Pełny tekst źródłaLee, Dong-Jin, i In-June Hwang. "Self-powered Senor System using RF energy for Autonomous Train Control System". Journal of the Korean Society for Railway 25, nr 1 (31.01.2022): 43–51. http://dx.doi.org/10.7782/jksr.2022.25.1.43.
Pełny tekst źródłaOh, Sehchan, i Hyeon-Yeong Choi. "Protection Algorithm for Virtual Coupler in T2T-Based Autonomous Train Control System". Journal of Korean Institute of Communications and Information Sciences 43, nr 11 (30.11.2018): 1894–902. http://dx.doi.org/10.7840/kics.2018.43.11.1894.
Pełny tekst źródłaTheriault, James A., Craig Sheppard, Joey Hood, Hilary B. Moors-Murphy i Matthew Coffin. "Counting odontocetes from click train detections using multiple independent autonomous acoustic sensors". Journal of the Acoustical Society of America 135, nr 4 (kwiecień 2014): 2241. http://dx.doi.org/10.1121/1.4877333.
Pełny tekst źródłaSuzuki, Tsuyoshi, Takashi Kawano, Yutaka Umehara, Yoshihide Nagatsugu i Masayuki Matsumoto. "Assurance technology for the mode change of autonomous decentralised train control system". International Journal of Critical Computer-Based Systems 2, nr 2 (2011): 111. http://dx.doi.org/10.1504/ijccbs.2011.041255.
Pełny tekst źródłaHwang, Jong-Gyu, Sung-Yoon Chae, Hyeon-Yeong Choi i Rag-Gyo Jeong. "Design of SITL-based Simulator for Performance Analysis of Autonomous Train Control". TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P 71, nr 4 (31.12.2022): 203–9. http://dx.doi.org/10.5370/kieep.2022.71.4.203.
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