Autonomous Intelligent Vehicles

Theory, Algorithms, and Implementation de

Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2011-11-15

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Description

This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.
Pages
154 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2011-11-15
Marque
Springer
EAN papier
9781447122791
EAN EPUB
9781447122807

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
2570 Ko
Prix
126,59 €