Website Search
Find information on spaces, staff, and services.
Catalog Search
Books
Modelling and simulation for autonomous systems : 6th International Conference, MESAS 2019, Palermo, Italy, October 29-31, 2019, revised selected papers
- Author / Creator
- Conferences
- MESAS (Workshop) (6th : 2019 : Palermo, Italy)
- Available as
- Online
Details
- Creator
- Jan Mazal, Adriano Fagiolini, Petr Vasik (eds.)
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- Cham : Springer, [2020]
- ©2020
- Series
- Physical Details
-
- 1 online resource (450 pages)
- data file
- ISBNs
- 3030438902, 9783030438913, 9783030438890, 9783030438906
- OCLC
- on1148897390
- Description based upon print version of record.
- 2 Simulation of Multi-Robot Task Allocation
- Includes bibliographical references and index.
- Intro -- Preface -- MESAS 2019 Organizer -- Organization -- Contents -- M&S of Intelligent Systems -- AI, R&D and Application -- Aerial Reconnaissance and Ground Robot Terrain Learning in Traversal Cost Assessment -- 1 Introduction -- 2 Multi-goal Path Planning from Aerial Imagery -- 3 Proposed Method -- 4 Results -- 5 Conclusion -- References -- Combined PSO Methods for UAVs Swarm Modelling and Simulation -- 1 Introduction -- 2 Combined PSO Methods -- 2.1 Leadership -- 2.2 Formations -- 2.3 Simple Collision Avoidance -- 2.4 Predicted Collision Avoidance -- 2.5 Combinations
- 3 UAVs Swarm Simulation Environment -- 4 Simulation Experiments -- 4.1 Collision Avoidance Mechanism Experiments -- 4.2 Combined Leadership Mechanism -- 4.3 Combined Formations Mechanism -- 5 Conclusion -- References -- Kinematic Model of a Specific Robotic Manipulator -- 1 Introduction -- 1.1 Rigid Motion -- 1.2 Homogeneous Representation -- 1.3 Exponential Coordinates for Rigid Motion and Twists -- 2 Model of the Manipulator -- 3 Forward Kinematics -- 4 Inverse Kinematics -- 4.1 Denavit-Hartenberg Parameters -- 5 Conclusion -- References
- Low-Cost RGB-D-SLAM Experimental Results for Real Building Interior Mapping -- 1 Introduction -- 2 Low-Cost Mapping -- 2.1 The SLAM Loop -- 2.2 The Sensor: Microsoft Kinect for Windows v1 -- 2.3 The Localization Algorithm: RGB-D-SLAM -- 2.4 The Closing: g2o Algorithm -- 2.5 The Representation: 3D Point Cloud -- 3 Application to the Mapping of the Interior of a Building -- 3.1 Overview -- 3.2 Caveats -- 3.3 Post-processing -- 4 Experimental Results -- 5 Conclusion and Future Work -- References
- Deep Learning Algorithms for Vehicle Detection on UAV Platforms: First Investigations on the Effects of Synthetic Training -- 1 Introduction -- 2 Object of Research -- 3 State of the Art: Datasets, Simulation Testbed and Algorithms -- 3.1 Natural Datasets for UAV Vehicle Detection -- 3.2 Presagis M&S Suite for Training and Testing in Synthetic Environments -- 3.3 Algorithms for UAV Vehicle Detection -- 4 Generation and Analysis of the Synthetic Data Set -- 4.1 Bounding Box and Ground Truth Generation for Synthetic Environments
- 4.2 Image Generation Scheme, Parameter Distribution and Explorative Data Analysis -- 5 Experimental Setup and Results -- 5.1 Metrics for Evaluation -- 5.2 Training -- 5.3 Natural Training Data and Influence of the Learning Rate -- 5.4 Performance on Synthetic Test Data for Natural Training -- 5.5 Training with the Virtual Training Data Set -- 5.6 Training with Mixed Data Set -- 6 Conclusion and Future Work -- References -- Building a Generic Simulation Model for Analyzing the Feasibility of Multi-Robot Task Allocation (MRTA) Problems -- 1 Introduction