Modelling and Simulation for Autonomous Systems: 7th International Conference, MESAS 2020, Prague, Czech Republic, October 21, 2020, Revised Selected Papers

by Jan Mazal (Editor), Adriano Fagiolini (Editor), Petr Vasik (Editor), Michele Turi (Editor)

Overview

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.

Product Details

ISBN-13:	9783030707408
Publisher:	Springer-Verlag New York, LLC
Publication date:	03/04/2021
Series:	Lecture Notes in Computer Science , #12619
Sold by:	Barnes & Noble
Format:	eBook
File size:	80 MB
Note:	This product may take a few minutes to download.

Table of Contents

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.