logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Road Terrain Classification Technology For Autonomous Vehicle 1st Ed Shifeng Wang

  • SKU: BELL-9961496
Road Terrain Classification Technology For Autonomous Vehicle 1st Ed Shifeng Wang
$ 31.00 $ 45.00 (-31%)

5.0

58 reviews

Road Terrain Classification Technology For Autonomous Vehicle 1st Ed Shifeng Wang instant download after payment.

Publisher: Springer Singapore
File Extension: PDF
File size: 4.09 MB
Author: Shifeng Wang
ISBN: 9789811361548, 9789811361555, 9811361541, 981136155X
Language: English
Year: 2019
Edition: 1st ed.

Product desciption

Road Terrain Classification Technology For Autonomous Vehicle 1st Ed Shifeng Wang by Shifeng Wang 9789811361548, 9789811361555, 9811361541, 981136155X instant download after payment.

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.

Related Products