Road Terrain Classification Technology for Autonomous Vehicle

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Éditeur :

Springer


Collection :

Unmanned System Technologies

Paru le : 2019-03-15

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Description
This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors’ classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible. 
Pages
97 pages
Collection
Unmanned System Technologies
Parution
2019-03-15
Marque
Springer
EAN papier
9789811361548
EAN PDF
9789811361555

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
4229 Ko
Prix
94,94 €
EAN EPUB
9789811361555

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
22077 Ko
Prix
94,94 €