NONLINEAR KALMAN FILTER FOR MULTI-SENSOR NAVIGATION OF UNMANNED AERIAL VEHICLES

<P><I>NONLINEAR KALMAN FILTER FOR MULTI-SENSOR NAVIGATION OF UNMANNED AERIAL VEHICLES</I> COVERS STATE ESTIMATION DEVELOPMENT APPROACHES FOR MINI-UAV. THE BOOK FOCUSES ON KALMAN FILTERING TECHNICS FOR UAV DESIGN, PROPOSING A NEW DESIGN METHODOLOGY AND CASE STUDY RELATED TO INERTIAL NAVIGATION SYSTEMS FOR DRONES. BOTH SIMULATION AND REAL EXPERIMENT RESULTS ARE PRESENTED, THUS SHOWING NEW AND PROMISING PERSPECTIVES.</P> <BR><BR><UL><LI>GIVES A STATE ESTIMATION DEVELOPMENT APPROACH FOR MINI-UAVS</LI><LI>EXPLAINS KALMAN FILTERING TECHNIQUES</LI><LI>INTRODUCE A NEW DESIGN METHOD FOR UNMANNED AERIAL VEHICLES</LI><LI>INTRODUCE CASES RELATING TO THE INERTIAL NAVIGATION SYSTEM OF DRONES</LI></UL>

<P>1. INTRODUCTION TO AERIAL ROBOTICS 2. THE STATE OF THE ART 3. INERTIAL NAVIGATION MODELS 4. THE IUKF AND ?-IUKF ALGORITHMS 5. METHODOLOGICAL VALIDATION, EXPERIMENTS AND RESULTS </P>