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OmniNxt: A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception

  • Peize Liu
  • , Chen Feng*
  • , Yang Xu
  • , Yan Ning
  • , Hao Xu*
  • , Shaojie Shen
  • *Corresponding author for this work
  • Hong Kong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Adopting omnidirectional Field of View (FoV) cameras in aerial robots vastly improves perception ability, significantly advancing aerial robotics's capabilities in inspection, reconstruction, and rescue tasks. However, such sensors also elevate system complexity, e.g., hardware design, and corresponding algorithm, which limits researchers from utilizing aerial robots with omnidirectional FoV in their research. To bridge this gap, we propose OmniNxt, a fully open-source aerial robotics platform with omnidirectional perception. We design a high-performance flight controller Nxt-FC and a multi-fisheye camera set for OmniNxt. Meanwhile, the compatible software is carefully devised, which empowers OmniNxt to achieve accurate localization and real-time dense mapping with limited computation resource occupancy. We conducted extensive real-world experiments to validate the superior performance of OmniNxt in practical applications. All the hardware and software are open-access at3, and we provide docker images of each crucial module in the proposed system. Project page: https://hkust-aerial-robotics.github.io/OmniNxt.

Original languageEnglish
Title of host publication2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages10605-10612
Number of pages8
ISBN (Electronic)9798350377705
DOIs
StatePublished - 2024
Externally publishedYes
Event2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, United Arab Emirates
Duration: 14 Oct 202418 Oct 2024

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period14/10/2418/10/24

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