This book captures the latest results and techniques for cooperative localization and navigation drawn from a broad array of disciplines. It provides the reader with a generic and comprehensive view of modeling, strategies, and state estimation methodologies in that fields. It discusses the most recent research and novel advances in that direction, exploring the design of algorithms and architectures, benefits, and challenging aspects, as well as a potential broad array of disciplines, including wireless communication, indoor localization, robotics, emergency rescue, motion analysis, etc.
Table of Contents
Section I: Preliminaries on Cooperative Navigation: Communications, Coordination, and Sensing. Introduction: Cooperative Localization and Navigation. Positioning Model in Cooperative Environment. Communication Requirements and Architecture for Cooperative Problem Solving System. Formation Coordination with Connectivity Preservation. Remote Sensing Platforms and Sensors. Section II: Cooperative Strategies for Localization and Navigation. Cooperative Strategies in Unknown, Dynamic and Troublesome Scenarios. Decentralized Solutions to the Cooperative Multi-Platform Navigation Problem. Cooperative Localization based on Relative Measurements. Cooperative Inertial Navigation for GNSS-Challenged Environments. Vision-Aided Cooperative Inertial Navigation Using Overlapping Views. Graph-based Cooperative Navigation Using three-view Constraints. Section III: Estimation Methodologies for Cooperative Localization and Navigation. Cooperative Position Estimation with Structured Beacons. Possibilistic Sensor Fusion for Cooperative Localization. Cooperative Estimation and Fleet Reconfiguration for Multi-Agent Systems. Spatio-Temporal Information Coupling in Cooperative Network Navigation. Advanced Optimization Algorithms for Multiuser Cooperative Navigation. Cooperative and Decentralized Navigation using Predictive Control. Robust Cooperative State Estimation for UAVs in GPS-denied areas. Decentralized Extended Information Filter for Single-Beach Cooperative Acoustic Navigation. Section IV: Applicable Platforms and Directions for Cooperative Navigation: Issues and Challenges. Cooperative Indoor Localization: Theoretical Approaches and Applications. Cooperative Autonomous Navigation for Multiple Unmanned Vehicles. Cooperative Localization in 5G Networks. Cooperative Human-Robot Haptic Navigation. Decentralized Cooperative Navigation for Spacecraft. Cooperative Multi-Robot Navigation, Exploration, Mapping and Object Detection with ROS. UWB Positioning System for UAV Navigation in GNSS-denied Environments. Network-based Cooperative Navigation based on Remote-access Observations.
Chao Gao is currently an assistant professor in the Aeronautical Essential College at Naval Aeronautical University (NAU), Yantai, China, and one of founders for Aircraft Networked Navigation Technology Laboratory (ANTL), affiliated with NAU. He received B.S., M.S., and Ph.D degrees in Control Science and Engineering from NAU, Yantai, China in 2007, 2009, and 2017, respectively. His current research interests include mobile wireless networks, cooperative communication, network control system, and navigation technology. He holds 9 inventive patents, and he has published approx. 30 research papers in scientific journals, international conferences, and book chapters.
Guorong Zhao received B.S. degree in Engineering Science from Naval Aeronautical Engineering Institute, Yantai, China in 1984, and M.S. and Ph.D. degrees in Control Science and Engineering from Harbin Institute of Technology at Harbin, China in 1992 and 1996, respectively. He joined the faculty of the Department of Aircraft Engineering at Naval Aeronautical University (NAU), China, as an Assistant Professor in 1998. He has been the Chair of the Department of Control Engineering, NAU, since August 2012. He is currently a Full Professor at the aeronautical essential college at NAU. His research interests include vehicular ad hoc networks, ad hoc wireless networks, distributed systems, navigation, guidance and control.
Hassen Fourati, PhD, is currently an associate professor of the electrical engineering and computer science at the University of Grenoble Alpes, Grenoble, France, and a member of the Networked Controlled Systems Team (NeCS), affiliated to the Automatic Control Department of the GIPSA-Lab. He earned his bachelor of engineering degree in electrical engineering at the National Engineering School of Sfax (ENIS), Tunisia; master’s degree in automated systems and control at the University of Claude Bernard (UCBL), Lyon, France; and PhD degree in automatic control at the University of Strasbourg, France, in 2006, 2007, and 2010, respectively. His research interests include nonlinear filtering and estimation and multisensor fusion with applications in navigation, motion analysis and traffic management. He has published several research papers in scientific journals, international conferences, book chapters and books.