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2023 | Buch

Autonomous Vehicle Technology

Global Exploration and Chinese Practice

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SUCHEN

Über dieses Buch

The subject of this book is artificial intelligence (AI), introducing the fast road sensing algorithm and system based on image pattern recognition for unmanned vehicle, especially for traffic sign recognition and complex road recognition. With rich figures and credible data, this book systematically and comprehensively describes the core technology and industrialization focus of today's unmanned vehicle system, which can be used as a reference for R & D Engineers and industrialization practitioners of unmanned vehicle, and it can also be used as a teaching material for higher grades and postgraduates in colleges and universities.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Overview of Autonomous Vehicle
Abstract
Autonomous vehicle, or self-piloting automobile, driverless car, computer-driven car, or wheeled mobile robot, is a type of intelligent car autonomously controlled by computer system.
Mingfang Du
Chapter 2. General Technology
Abstract
The three core tasks of autonomous vehicle are cognition, decision-making and control. In the process of driving, the vehicle perceives the surrounding environment and road conditions by itself, completes the processing and fusion process based on perceptual information to form an understanding of the overall situation, then makes decisions on how to deal with it through various algorithms.
Mingfang Du
Chapter 3. Vehicle Borne Radar System
Abstract
Autonomous vehicle sensor system generally includes four kinds of radars: lidar, millimeter wave radar, ultrasonic radar and infrared radar. Lidar and millimeter wave radar are basic and necessary onboard sensor devices, while ultrasonic radar and infrared radar are optional according to the situation.
Mingfang Du
Chapter 4. Lane Visual Detection and Recognition Technology
Abstract
The purpose of lane image understanding is to perform visual navigation. Most of the early outdoor mobile robot visual navigation methods are no map methods, and the research background is mainly for structured environment, including highway vehicle automatic cruise and factory automatic guided vehicle (AGV). According to the structure of road environment, outdoor visual navigation can be divided into structured environment navigation and unstructured environment navigation.
Mingfang Du
Chapter 5. Navigation and Positioning Technology
Abstract
The traditional electronic map is an abstraction of the road network. The road network is abstracted into the form of a digraph. The vertices in the graph represent intersections, and the edges represent the connections between intersections.
Mingfang Du
Chapter 6. Motion Control and Planning Decision-Making Technology
Abstract
PID control is one of the earliest control strategies, and its algorithm principle is shown in Fig. 6.1. Because of its simple algorithm, strong robustness and high reliability, it is widely used in various control systems, especially in deterministic control systems with an accurate mathematical model.
Mingfang Du
Chapter 7. Energy and Power System
Abstract
Autonomous vehicles are intelligent and networked vehicles based on traditional power vehicles or new energy vehicles. At present, new energy vehicles mainly include pure electric vehicles, plug-in hybrid vehicles, hydrogen fuel cell vehicles, etc.
Mingfang Du
Chapter 8. Internet of Vehicles
Abstract
The rapid popularization of automobile not only brings convenience to people’s life, but also causes traffic accidents, environmental pollution, road congestion and other social problems. Intelligence, electricity and low-carbon emission are the new directions of automobile technology development.
Mingfang Du
Chapter 9. Autonomous Vehicle Industrialization
Abstract
With the maturity of autonomous vehicle technology, practical products such as autonomous bus, autonomous mine car, autonomous taxi and autonomous train are emerging and gradually developing towards mass production. At present, the important commercial application scenarios based on the evolution of autonomous vehicle technology are introduced as follows.
Mingfang Du
Chapter 10. From Autonomous Vehicle to AI City
Abstract
Data from the Ministry of Industry and Information Technology (MIIT) shows that market of traditional fuel vehicles in China has shown a downward trend in recent years, while the market of new energy vehicles has shown an upward trend.
Mingfang Du
Backmatter
Metadaten
Titel
Autonomous Vehicle Technology
verfasst von
Mingfang Du
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
Electronic ISBN
978-981-19-4143-6
Print ISBN
978-981-19-4142-9
DOI
https://doi.org/10.1007/978-981-19-4143-6

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