Modelling and Simulation for Autonomous Systems

7th International Conference, MESAS 2020, Prague, Czech Republic, October 21, 2020, Revised Selected Papers

AvJan Mazal,Adriano Fagiolini

Häftad, Engelska, 2021

Del 12619 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-03-05
Mått:155 x 235 x 18 mm
Vikt:493 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:309
Förlag:Springer Nature Switzerland AG
ISBN:9783030707392

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Innehållsförteckning

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.