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210407 ||| eng |
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|a 9783030707408
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| 100 |
1 |
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|a Mazal, Jan
|e [editor]
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| 245 |
0 |
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|a Modelling and Simulation for Autonomous Systems
|h Elektronische Ressource
|b 7th International Conference, MESAS 2020, Prague, Czech Republic, October 21, 2020, Revised Selected Papers
|c edited by Jan Mazal, Adriano Fagiolini, Petr Vasik, Michele Turi
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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| 300 |
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|a XII, 309 p. 160 illus., 146 illus. in color
|b online resource
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| 505 |
0 |
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|a Future Challenges of Advanced M&S Technology -- Hyperbolic quantum computing based on quantum bit algebra QBA -- On Building Communication Maps in Subterranean Environments -- Combat UGVs support of company task force operations -- M&S driven experimentation for concept development on combined manned and unmanned vehicles in urban environment: simulation design -- UAV based Vehicle Detection with Synthetic Training: Identification of Performance Factors using Image Descriptors and Machine Learning -- Combining Epidemiological and Constructive Simulations for Robotics and Autonomous Systems supporting Logistic Supply in Infectious Diseases affected Areas -- M&S of Intelligent Systems – R&D and Application -- Numerical experiment on optimal control for the Dubins car model -- M&S based test bed to support V&V of Autonomous Resources Task Coordinator -- Replacement Possibilities of the Medium-Size Truck Transport Capabilities by UAVs in the Disturbed Logistics Infrastructure -- Experimental Leg Inverse Dynamics Learning of Multi-Legged Walking Robot -- Multi-UAV Mission Efficiency: First Results in an Agent-based Simulation -- The GRASP Metaheuristic for the Electric Vehicle Routing Problem -- Stereo Camera Simulation in Blender -- Vision-based Localization for Multi-rotor Aerial Vehicle in Outdoor Scenarios -- AxS/AI in Context of Future Warfare and Security Environment -- Model of Surveillance in Complex Environment using a Swarm of Unmanned Aerial Vehicles -- Initial Solution Constructors for Capacitated Green Vehicle Routing Problem -- Artificial Intelligence in the Defence Sector -- Artificial Intelligence and Robotics addressing COVID-19 Pandemic’s Challenges -- ORB-SLAM2 Based Teach-and-Repeat System
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| 653 |
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|a Computer Communication Networks
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| 653 |
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|a Computer simulation
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| 653 |
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|a Computer Modelling
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| 653 |
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|a Computer networks
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| 653 |
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|a Robotics
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| 653 |
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|a Special Purpose and Application-Based Systems
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| 653 |
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|a Computers, Special purpose
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| 700 |
1 |
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|a Fagiolini, Adriano
|e [editor]
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| 700 |
1 |
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|a Vasik, Petr
|e [editor]
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| 700 |
1 |
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|a Turi, Michele
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Information Systems and Applications, incl. Internet/Web, and HCI
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| 028 |
5 |
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|a 10.1007/978-3-030-70740-8
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-030-70740-8?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 003.3
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| 520 |
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|a This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2020, held in Prague, Czech Republic, in October 2020.* The 19 full papers included in the volume were carefully reviewed and selected from 26 submissions. They are organized in the following topical sections: future challenges of advanced M&S technology; M&S of intelligent systems – R&D and application; and AxS/AI in context of future warfare and security environment. *The conference was held virtually
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