Autonomous Intelligent Vehicles. Theory, Algorithms, and Implementation - Introduction

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Autonomous Intelligent Vehicles. Theory, Algorithms, and Implementation - Introduction

Autonomous Intelligent Vehicles. Theory, Algorithms, and Implementation - Introduction

Cheng, Hong

In this chapter, autonomous intelligent vehicles considered as mobile robot platforms are introduced. In general, an intelligent vehicle consists of four fundamental technologies: environment perception and modeling, vehicle localization and map building, path planning and decision-making, and motion control. On the one hand, these platforms, combining vehicles, drivers and lanes together, are designed to improve road safety and reduce traffic congestion and accidents in intelligent transportation systems. On the other hand, the Defense Advanced Research Project Agency (DARPA) had held the Grand Challenges and the Urban Challenges, which remarkably promoted the technologies of entirely autonomous intelligent vehicles and their military applications around the world.

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Title :

Autonomous Intelligent Vehicles. Theory, Algorithms, and Implementation - Introduction

Contributors:

Cheng, Hong (author)

Published in:

Autonomous Intelligent Vehicles. Theory, Algorithms, and Implementation ; 3-11

Advances in Computer Vision and Pattern Recognition

Publication date :

2011

Size :

9 Seiten

ISBN :

978-1-4471-2280-7 , 978-1-4471-2279-1

ISSN :

DOI :

https://doi.org/10.1007/978-1-4471-2280-7_1

Type of media :

Article/Chapter (Book)

Type of material :

Print

Language :

English

Keywords :

Motion-Control , Verkehrsstörung , Forschungsprojekt , Kraftfahrzeugzug , Fahrspur , Mobilroboter , Verkehrssicherheit , Bahnplanung

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