Title:
|
GPS-SLAM: an augmentation of the ORB-SLAM algorithm
|
Author:
|
Kiss-Illés, Dániel; Barrado Muxí, Cristina; Salamí San Juan, Esther
|
Other authors:
|
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems |
Abstract:
|
This work presents Global Positioning System-Simultaneous Localization and Mapping (GPS-SLAM), an augmented version of Oriented FAST (Features from accelerated segment test) and Rotated BRIEF (Binary Robust Independent Elementary Features) feature detector (ORB)-SLAM using GPS and inertial data to make the algorithm capable of dealing with low frame rate datasets. In general, SLAM systems are successful in case of datasets with a high frame rate. This work was motivated by a scarce dataset where ORB-SLAM often loses track because of the lack of continuity. The main work includes the determination of the next frame’s pose based on the GPS and inertial data. The results show that this additional information makes the algorithm more robust. As many large, outdoor unmanned aerial vehicle (UAV) flights save the GPS and inertial measurement unit (IMU) data of the capturing of images, this program gives an option to use the SLAM algorithm successfully even if the dataset has a low frame rate |
Abstract:
|
Peer Reviewed |
Subject(s):
|
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Global Positioning System -SLAM -GPS data -inertial -UAV -scarce dataset -Sistema de posicionament global |
Rights:
|
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/ |
Document type:
|
Article - Published version Article |
Published by:
|
Multidisciplinary Digital Publishing Institute (MDPI)
|
Share:
|
|