Vision-Based SLAM System for Unmanned Aerial Vehicles

Vision-Based SLAM System for Unmanned Aerial Vehicles

The present paper describes a vision-based simultaneous localization and mapping system to be applied to Unmanned Aerial Vehicles (UAVs). The main contribution of this work is to propose a novel estimator relying on an Extended Kalman Filter. The estimator is designed in order to fuse the measuremen...

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Bibliographic Details
Main Authors: Rodrigo Munguía, Sarquis Urzua, Yolanda Bolea, Antoni Grau
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Sensors
Subjects:
state estimation
unmanned aerial vehicle
monocular vision
localization
mapping
Online Access:http://www.mdpi.com/1424-8220/16/3/372

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