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Road Terrain Classification Technology for Autonomous Vehicle

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Road Terrain Classification Technology for Autonomous Vehicle/ by Shifeng Wang.
作者:	Wang, Shifeng.
面頁冊數:	XVI, 97 p. 43 illus., 32 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Automotive engineering. -
電子資源:	https://doi.org/10.1007/978-981-13-6155-5
ISBN:	9789811361555

Road Terrain Classification Technology for Autonomous Vehicle
Wang, Shifeng.

Road Terrain Classification Technology for Autonomous Vehicle[electronic resource] /by Shifeng Wang. - 1st ed. 2019. - XVI, 97 p. 43 illus., 32 illus. in color.online resource. - Unmanned System Technologies,2523-3734. - Unmanned System Technologies,.

Introduction -- Review of Related Work -- Acceleration Based Road Terrain Classification -- Image Based Road Terrain Classification -- LRF Based Road Terrain Classification -- Multiple-Sensor Based Road Terrain Classification -- Conclusion and Future Direction.

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. .

ISBN: 9789811361555

Standard No.: 10.1007/978-981-13-6155-5doiSubjects--Topical Terms:

1104081
Automotive engineering.

LC Class. No.: TL1-483

Dewey Class. No.: 629.2

Road Terrain Classification Technology for Autonomous Vehicle
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