Fast and Robust Flight Altitude Estimation of Multirotor UAVs in Dynamic Unstructured Environments Using 3D Point Cloud Sensors

Fast and Robust Flight Altitude Estimation of Multirotor UAVs in Dynamic Unstructured Environments Using 3D Point Cloud Sensors

This paper presents a fast and robust approach for estimating the flight altitude of multirotor Unmanned Aerial Vehicles (UAVs) using 3D point cloud sensors in cluttered, unstructured, and dynamic indoor environments. The objective is to present a flight altitude estimation algorithm, replacing the...

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Bibliographic Details
Main Authors: Hriday Bavle, Jose Luis Sanchez-Lopez, Paloma de la Puente, Alejandro Rodriguez-Ramos, Carlos Sampedro, Pascual Campoy
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Aerospace
Subjects:
flight altitude estimation
UAVs
multirotor aerial robots
K-means clustering
3D point cloud
kalman filter
SLAM
Online Access:http://www.mdpi.com/2226-4310/5/3/94

Internet

http://www.mdpi.com/2226-4310/5/3/94

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