Scale Estimation and Correction of the Monocular Simultaneous Localization and Mapping (SLAM) Based on Fusion of 1D Laser Range Finder and Vision Data

This article presents a new sensor fusion method for visual simultaneous localization and mapping (SLAM) through integration of a monocular camera and a 1D-laser range finder. Such as a fusion method provides the scale estimation and drift correction and it is not limited by volume, e.g., the stereo...

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Bibliographic Details
Main Authors: Zhuang Zhang, Rujin Zhao, Enhai Liu, Kun Yan, Yuebo Ma
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/6/1948