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Modelling and Simulation for Autonomous Systems de Jan Mazal

Modelling and Simulation for Autonomous Systems: Lecture Notes in Computer Science

Editat de Jan Mazal, Adriano Fagiolini, Petr Vašík, Michele Turi
en Limba Engleză Paperback – 5 mar 2021
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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Specificații

ISBN-13: 9783030707392
ISBN-10: 3030707393
Pagini: 324
Ilustrații: XII, 309 p. 160 illus., 146 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:1st edition 2021
Editura: Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.