Autonomous Vehicles

Aerospace and Automotive Applications

AvTomasz Krysinski,François Malburet

Inbunden, Engelska, 2026

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Beskrivning

The development of autonomous vehicles represents a major technological breakthrough, revolutionizing mobility through the integration of advanced technologies at the intersection of artificial intelligence (AI), mechatronics and control sciences. This heralds a new era of disruptive innovation for the automotive and aerospace industries.Autonomous Vehicles offers an in-depth, structured analysis of the scientific and technical challenges associated with autonomy, while also addressing the industrial, societal, legal and safety issues specific to the automotive and aerospace sectors. This book presents the key functions of automated driving and piloting, sensor technologies and their role in environmental perception, as well as data processing and exploitation strategies based on conventional algorithmic approaches and techniques derived from AI.This detailed book offers concrete examples from industrial use cases, offering a rigorous and up-to-date overview of a rapidly changing field, grounded in close collaboration between academia and industry.

Produktinformation

Utgivningsdatum:2026-01-19
Format:Inbunden
Språk:Engelska
Serie:ISTE Invoiced
Antal sidor:224
Förlag:ISTE Ltd
ISBN:9781836690306

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Mer om författaren

Tomasz Krysinski is Director of Research and Innovation at Airbus Helicopters, France.François Malburet is Professor and Researcher at ENSAM in Aix-en-Provence, France, and a member of LISPEN.

Innehållsförteckning

Foreword viiBruno EVENPreface xiIntroduction xviiChapter 1. Vehicle Architecture 11.1. Generalities and levels of autonomy 11.2. Evolution of features associated with autonomy 31.2.1. Features and technologies for the automobile 31.2.2. Features and technologies for aeronautics 51.3. Vehicle architecture and control chain 71.3.1. Case of aeronautics 71.3.2. Automobile case 371.4. Vehicle architecture review 40Chapter 2. Features and Autonomy 412.1. Simple or comfort control features 422.1.1. Features related to land vehicles 422.1.2. Features related to airborne systems: helicopter pilot assistance 472.2. Complex features specific to a phase of use 522.2.1. Automobile: parking assistance 522.2.2. Aeronautics: landing and parking assistance 522.3. Complex traffic and security features 702.3.1. Detection of other vehicles and traffic management 702.3.2. Obstacle detection 78Chapter 3. Sensors and Technologies 813.1. Introduction 813.1.1. Proprioceptive sensors 843.1.2. Exteroceptive sensors 903.2. Sensor review and comparison 119Chapter 4. Data Mining and Fusion 1214.1. Introduction to the concept of data fusion 1214.1.1. Types of data fusion 1234.1.2. The steps of data fusion 1244.1.3. Data fusion level 1254.1.4. Introduction to the Kalman filter 1274.2. DTMO: detection and tracking of moving objects 1304.2.1. Automobile examples 1304.2.2. Examples in aeronautics 1344.3. SLAM: mapping and localization 1494.3.1. Methods for identifying the vehicle environment 1504.3.2. Communications between vehicles 1524.3.3. Example of landing automation: EAGLE project 154Conclusion 159References 161Index 167