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Special Issue on High-Speed Vision-Based Autonomous Navigation of UAVs


Loianno, Giuseppe; Scaramuzza, Davide; Kumar, Vijay (2018). Special Issue on High-Speed Vision-Based Autonomous Navigation of UAVs. Journal of Field Robotics, 1(1):1-3.

Abstract

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.

Abstract

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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:1 January 2018
Deposited On:22 Mar 2018 12:21
Last Modified:13 Apr 2018 11:43
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:1556-4959
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1002/rob.21773
Official URL:http://rpg.ifi.uzh.ch/docs/JFR18_loianno_special_issue.pdf
Other Identification Number:merlin-id:16263

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