Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Navigation for ARWs
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-3922-1735
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-4383-7316
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-1046-0305
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-1437-1809
2023 (English)In: Aerial Robotic Workers: Design, Modeling, Control, Vision, and Their Applications / [ed] George Nikolakopoulos, Sina Sharif Mansouri, Christoforos Kanellakis, Elsevier, 2023, p. 79-108Chapter in book (Other academic)
Abstract [en]

This chapter presents an overview of various navigation schemes used for ARWs and their application areas. Navigation schemes, in general, answer the question of how to move from the current position to the desired and optimally plan the path between them, which is a necessary step for almost all applications for autonomous flight. This chapter will go over reactive navigation schemes, such as the potential fields and Model Predictive Control with integrated obstacle avoidance, as well as global path-planning methods, such as map-based iterative planners like D, and planning for complete coverage of infrastructure to perform a visual inspection.

Place, publisher, year, edition, pages
Elsevier, 2023. p. 79-108
Keywords [en]
Path planning, Reactive obstacle avoidance, Coverage planning, Heading regulation
National Category
Robotics Control Engineering
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-97386DOI: 10.1016/B978-0-12-814909-6.00012-3Scopus ID: 2-s2.0-85150131886ISBN: 978-0-12-814909-6 (print)OAI: oai:DiVA.org:ltu-97386DiVA, id: diva2:1758942
Available from: 2023-05-24 Created: 2023-05-24 Last updated: 2023-05-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Lindqvist, BjörnKottayam Viswanathan, VigneshKarlsson, SamuelSatpute, Sumeet Gajanan

Search in DiVA

By author/editor
Lindqvist, BjörnKottayam Viswanathan, VigneshKarlsson, SamuelSatpute, Sumeet Gajanan
By organisation
Signals and Systems
RoboticsControl Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf