Intelligent Autonomy of UAVs: Advanced Missions and Future Use provides an approach to the formulation of the fundamental task typical to any mission and provides guidelines of how this task can be solved by different generic robotic problems. As such, this book aims to provide a systems engineering approach to UAV projects, discovering the real problems that need to be resolved independently of the application.
After an introduction to the rapidly evolving field of aerial robotics, the book presents topics such as autonomy, mission analysis, human-UAV teams, homogeneous and heterogeneous UAV teams, and finally, UAV-UGV teams. It then covers generic robotic problems such as orienteering and coverage. The book next introduces deployment, patrolling, and foraging, while the last part of the book tackles an important application: aerial search, tracking, and surveillance.
This book is meant for both scientists and practitioners. For practitioners, it presents existing solutions that are categorized according to various missions: surveillance and reconnaissance, 3D mapping, urban monitoring, precision agriculture, forestry, disaster assessment and monitoring, security, industrial plant inspection, etc.
For scientists, it provides an overview of generic robotic problems such as coverage and orienteering; deployment, patrolling and foraging; search, tracking, and surveillance. The design and analysis of algorithms raise a unique combination of questions from many fields, including robotics, operational research, control theory, and computer science.
Table of Contents
1.2 Use of Unmanned Aerial Systems
1.3 Unmanned Aerial System
1.4 Case Studies
2 Mission Framework
2.3 Homogeneous UAV Team
2.4 Heterogeneous UAVs Team
2.5 UAVUGV Teams
2.6 Mission Analysis
3 Orienteering and Coverage
3.2 Operational Research Preliminaries
4 Deployment, Patrolling, and Foraging
4.2 Aerial Deployment
5 Search, Tracking and Surveillance
5.2 Basics of Search Theory and Decision Support
5.3 Information Gathering
5.4 Mobility of Targets
5.5 Target Search and Tracking
6 General Conclusions
Yasmina Bestaoui Sebbane earned her PhD in Control and Computer Engineering from Ecole Nationale Superieure de Mecanique, Nantes, France, in 1989 (currently Ecole Centrale de Nantes), and the Habilitation to Direct Research in Robotics, from the University of Evry, France, in 2000.
She has been with the Electrical Engineering Department of the University of Evry since 1999. From 1989 to 1998, she was with the Mechanical Engineering Department of the University of NANTES. From September 1997 to July 1998, she was a Visiting Associate Professor in the Computer Science department at the Naval Post Graduate School, Monterey, California, USA. Her research interests include control, planning, and decision making of unmanned systems, particularly unmanned aerial vehicles and robots. She is the author of three other books.