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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Special Issue on High-Speed Vision-Based Autonomous Navigation of UAVs
Organization Unit
Authors
  • Giuseppe Loianno
  • Davide Scaramuzza
  • Vijay Kumar
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Journal of Field Robotics
Publisher Wiley-Blackwell Publishing, Inc.
Geographical Reach international
ISSN 1556-4959
Volume 1
Number 1
Page Range 1 - 3
Date 2018
Abstract Text This first special issue of the Journal of Field Robotics (JFR) on vision-based high speed autonomous navigation of UAVs aims to establish a baseline in the field of autonomous navigation of UAVs using vision and IMU as the main sensing modalities. The goal of the research reported in this special issue is to show the improvements and present the most recent state of the art to execute fast autonomous operations with MAVs. The proposed approaches will contribute to inform the community with the most recent and innovative approaches and to extend the capabilities of current and future robotic missions.
Zusammenfassung This fi rst special issue of the Journal of Field Robotics (JFR) on vision-based high speed autonomous navigation of UAVs aims to establish a baseline in the fi eld of autonomous navigation of UAVs using vision and IMU as the main sensing modalities. The goal of the research reported in this special issue is to show the improvements and present the most recent state of the art to execute fast autonomous operations with MAVs. The proposed approaches will contribute to inform the community with the most recent and innovative approaches and to extend the capabilities of current and future robotic missions.
Free access at DOI
Official URL http://rpg.ifi.uzh.ch/docs/JFR18_loianno_special_issue.pdf
Digital Object Identifier 10.1002/rob.21773
Other Identification Number merlin-id:16263
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Keywords Control and Systems Engineering, Computer Science Applications