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Image of Road Terrain Classification Technology for Autonomous Vehicle

Electronic Resource

Road Terrain Classification Technology for Autonomous Vehicle

Wang, Shifeng - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908002089EB0002795629.046 Wan rCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
629.046 Wan r
Publisher
Singapore : Springer Singapore., 2019
Collation
XVI, 97p.:Ill
Language
English
ISBN/ISSN
978-981-13-6155-5
Classification
629.046
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Automated vehicles
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Road Terrain Classification Technology for Autonomous Vehicle
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