Quality estimation and optimization of adaptive stereo matching algorithms for smart vehicles

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Quality estimation and optimization of adaptive stereo matching algorithms for smart vehicles

Stereo matching is a promising approach for smart vehicles to find the depth of nearby objects. Transforming a traditional stereo matching algorithm to its adaptive version has potential advantages to achieve the maximum quality (depth accuracy) in a best-effort manner. However, it is very challengi...

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Bibliographic Details
Main Authors:	Chen, Fupeng, Yu, Heng, Ha, Yajun
Format:	Article
Language:	English
Published:	2020
Subjects:	Binocular Stereo Matching; Smart Vehicle; Adaptive Application; Embedded Systems
Online Access:	https://eprints.nottingham.ac.uk/60160/

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