Foreword vii Bruno EVEN Preface xi Introduction xvii Chapter 1. Vehicle Architecture 1 1.1. Generalities and levels of autonomy 1 1.2. Evolution of features associated with autonomy 3 1.2.1.

Features and technologies for the automobile 3 1.2.2. Features and technologies for aeronautics 5 1.3. Vehicle architecture and control chain 7 1.3.1.

Case of aeronautics 7 1.3.2. Automobile case 37 1.4. Vehicle architecture review 40 Chapter 2. Features and Autonomy 41 2.1.

Simple or comfort control features 42 2.1.1. Features related to land vehicles 42 2.1.2. Features related to airborne systems: helicopter pilot assistance 47 2.2.

Complex features specific to a phase of use 52 2.2.1. Automobile: parking assistance 52 2.2.2. Aeronautics: landing and parking assistance 52 2.3.

Complex traffic and security features 70 2.3.1. Detection of other vehicles and traffic management 70 2.3.2. Obstacle detection 78 Chapter 3. Sensors and Technologies 81 3.

1. Introduction 81 3.1.1. Proprioceptive sensors 84 3.1.2. Exteroceptive sensors 90 3.

2. Sensor review and comparison 119 Chapter 4. Data Mining and Fusion 121 4.1. Introduction to the concept of data fusion 121 4.1.1. Types of data fusion 123 4.

1.2. The steps of data fusion 124 4.1.3. Data fusion level 125 4.1.4.

Introduction to the Kalman filter 127 4.2. DTMO: detection and tracking of moving objects 130 4.2.1. Automobile examples 130 4.2.2.

Examples in aeronautics 134 4.3. SLAM: mapping and localization 149 4.3.1. Methods for identifying the vehicle environment 150 4.3.2.

Communications between vehicles 152 4.3.3. Example of landing automation: EAGLE project 154 Conclusion 159 References 161 Index 167.