Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91930
PIRA download icon_1.1View/Download Full Text
Title: An end-to-end UAV simulation platform for visual SLAM and navigation aerospace
Authors: Chen, S 
Zhou, W 
Yang, AS
Chen, H 
Li, B 
Wen, CY 
Issue Date: Feb-2022
Source: Aerospace, Feb. 2022, v. 9, no. 2, 48
Abstract: Visual simultaneous localization and mapping (v-SLAM) and navigation of unmanned aerial vehicles (UAVs) are receiving increasing attention in both research and education. However, extensive physical testing can be expensive and time-consuming due to safety precautions, battery constraints, and the complexity of hardware setups. For the efficient development of navigation algorithms and autonomous systems, as well as for education purposes, the ROS-Gazebo-PX4 simulator was customized in-depth, integrated into our previous released research works, and provided as an end-to-end simulation (E2ES) solution for UAV, v-SLAM, and navigation applications. Unlike most other similar works, which can only stimulate certain parts of the navigation algorithms, the E2ES platform simulates all of the localization, mapping, and path-planning kits in one simulator. The navigation stack performs well in the E2ES test bench with the absolute pose errors of 0.3 m (translation) and 0.9 degree (rotation), respectively, for an 83 m length trajectory. Moreover, the E2ES provides an out-of-box, click-and-fly autonomy in UAV navigation. The project source code is opened for the benefit of the research community.
Keywords: UAV
Robotic simulation
Stereo camera
SLAM
Path planning
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Aerospace 
ISSN: 2226-4310
DOI: 10.3390/aerospace9020048
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Chen, S.; Zhou, W.; Yang, A.-S.; Chen, H.; Li, B.; Wen, C.-Y. An End-to-End UAV Simulation Platform for Visual SLAM and Navigation. Aerospace 2022, 9, 48 is available at https://dx.doi.org/10.3390/aerospace9020048.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
aerospace-09-00048-1-1.pdf6.21 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

78
Citations as of May 15, 2022

Downloads

6
Citations as of May 15, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.