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Perception capabilities for ARWs: The art of perceiving the environment
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: 0000-0001-6762-7172
2023 (English)In: Aerial Robotic Workers: Design, Modeling, Control, Vision, and Their Applications / [ed] George Nikolakopoulos, Sina Sharif Mansouri, Christoforos Kanellakis, Elsevier, 2023, p. 67-78Chapter in book (Other academic)
Abstract [en]

This Chapter presents vision-based perception modules for an Aerial Robotic Worker, as a basic component for the autonomy of the platform. Generally, visual information could be involved in various levels of autonomy, from object tracking to workspace mapping and motion estimation. The major challenge today is the development of autonomously operating aerial agents capable of completing missions independently of human interaction. To this extent, onboard perception should be developed for the aerial platform to perceive its surroundings and estimate its motion, enhancing the overall navigation and guidance skills.

Place, publisher, year, edition, pages
Elsevier, 2023. p. 67-78
Keywords [en]
Perception, Robot vision, State estimation
National Category
Robotics and automation Computer graphics and computer vision
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-97390DOI: 10.1016/B978-0-12-814909-6.00011-1Scopus ID: 2-s2.0-85150115635ISBN: 978-0-12-814909-6 (print)OAI: oai:DiVA.org:ltu-97390DiVA, id: diva2:1758929
Available from: 2023-05-24 Created: 2023-05-24 Last updated: 2025-02-05Bibliographically approved

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Karlsson, SamuelBai, Yifan

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CiteExportLink to record
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