Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform

Viktor Walter 1 Nicolas Staub 2, 1 Martin Saska 1 Antonio Franchi 2
2 LAAS-RIS - Équipe Robotique et InteractionS
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
Abstract : A novel vision-based approach for indoor/outdoor mutual localization on Unmanned Aerial Vehicles (UAVs) with low computational requirements and without external infrastructure is proposed in this paper. The proposed solution exploits the low natural emissions in the near-UltraViolet (UV) spectrum to avoid major drawbacks of the visible spectrum .Such approach provides much better reliability while being less computationally intensive. Working in near-UV requires active markers, which can be leveraged by enriching the information content through blinking patterns encoded marker-ID. In order to track the markers motion and identify their blinking frequency, we propose an innovative use of three dimensional Hough Transform, applied to stored position-time points. The proposed method was intensively tested onboard multi-UAV systems in real-world scenarios that are very challenging for visible-spectrum methods.The results of our methods in terms of robustness, reliability and precision, as well as the low requirement on the system deployment, predestine this method to be an enabling technology for using swarms of UAVs.
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal.laas.fr/hal-01814840
Contributor : Antonio Franchi <>
Submitted on : Wednesday, June 13, 2018 - 3:39:38 PM
Last modification on : Friday, June 14, 2019 - 6:31:19 PM

File

2018l-WalSasStaFra-preprint.pd...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01814840, version 1

Citation

Viktor Walter, Nicolas Staub, Martin Saska, Antonio Franchi. Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform. 14th IEEE International Conference on Automation Science and Engineering (CASE), Aug 2018, Munich, Germany. 6p. ⟨hal-01814840⟩

Share

Metrics

Record views

315

Files downloads

244