Your download is now in progress and you may close this window

Did you know that with a free Taylor & Francis Online account you can gain access to the following benefits?

Choose new content alerts to be informed about new research of interest to you
Easy remote access to your institution's subscriptions on any device, from any location
Save your searches and schedule alerts to send you new results
Export your search results into a .csv file to support your research

Have an account?
Login now Don't have an account?
Register for free

Login or register to access this feature

Have an account?
Login now Don't have an account?
Register for free

Choose new content alerts to be informed about new research of interest to you
Easy remote access to your institution's subscriptions on any device, from any location
Save your searches and schedule alerts to send you new results
Export your search results into a .csv file to support your research

Search in:

Advanced search

Geo-spatial Information Science Volume 21, 2018 - Issue 1: Special Issue: Information Processing for Unmanned Aerial Vehicles (UAVs) in Surveying, Mapping, and Navigation. Guest Editors: Gui-Song Xia, Mihai Datcu, Wen Yang, Xiang Bai

Submit an article Journal homepage

Open access

3,047

Views

CrossRef citations to date

Altmetric

Articles

UAV navigation system using line-based sensor pose estimation

Julien Li-Chee-MingDepartment of Earth and Space Science and Engineering, Geomatics Engineering, Lassonde School of Engineering, York University, Toronto, CanadaCorrespondence[email protected]

http://orcid.org/0000-0002-8646-3991

Costas ArmenakisDepartment of Earth and Space Science and Engineering, Geomatics Engineering, Lassonde School of Engineering, York University, Toronto, Canada

Pages 2-11 | Received 12 Jan 2017, Accepted 06 Nov 2017, Published online: 12 Jan 2018

Cite this article
https://doi.org/10.1080/10095020.2017.1420506
CrossMark

Full Article
Figures & data
References
Citations
Metrics
Licensing
Reprints & Permissions
View PDF PDF

Citations (1)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Feng Du, Wan-Liang Wang & Zhi Zhang. (2022) Pedestrian detection based on a hybrid Gaussian model and support vector machine. Enterprise Information Systems 16:10-11, pages 1515-1526.
Read now

Share icon
Back to Top

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.

People also read
Recommended articles
Cited by

To cite this article:

Reference style: APA Chicago Harvard

Citation copied to clipboard

Reference styles above use APA (6th edition), Chicago (16th edition) & Harvard (10th edition)

Download citation

Download a citation file in RIS format that can be imported by citation management software including EndNote, ProCite, RefWorks and Reference Manager.

Choose format: RIS BibTex RefWorks Direct Export

Choose options: Citation Citation & abstract Citation & references