Performance Analysis of Localization Algorithms for Inspections in 2D and 3D Unstructured Environments Using 3D Laser Sensors and UAVs

Performance Analysis of Localization Algorithms for Inspections in 2D and 3D Unstructured Environments Using 3D Laser Sensors and UAVs

One of the most relevant problems related to Unmanned Aerial Vehicle’s (UAV) autonomous navigation for industrial inspection is localization or pose estimation relative to significant elements of the environment. This paper analyzes two different approaches in this regard, focusing on its applicatio...

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Bibliographic Details
Main Authors: Bavle, H. (Author), Campoy, P. (Author), Carrio, A. (Author), De la Puente, P. (Author), Luna, M.A (Author), Peralta, P.E (Author), Ulloa, C.C (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
3D sensor
Aerial vehicle
Air navigation
Antennas
Computer aided design
Computer aided design models
Inspection
Iterative closest points algorithms
Iterative methods
Kalman filters
Localisation
localization
Localization algorithm
Monte Carlo localization
Monte Carlo methods
Nondestructive examination
particle filter
Particle filter
Three dimensional computer graphics
Trucks
UAV
Unmanned aerial vehicle’s
Unscented Kalman Filter
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