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A Version of Libviso2 for Central Dioptric Omnidirectional Cameras with a Laser-Based Scale Calculation

  • André AguiarEmail author
  • Filipe Santos
  • Luís Santos
  • Armando Sousa
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1092)

Abstract

Monocular Visual Odometry techniques represent a challenging and appealing research area in robotics navigation field. The use of a single camera to track robot motion is a hardware-cheap solution. In this context, there are few Visual Odometry methods on the literature that estimate robot pose accurately using a single camera without any other source of information. The use of omnidirectional cameras in this field is still not consensual. Many works show that for outdoor environments the use of them does represent an improvement compared with the use of conventional perspective cameras. Besides that, in this work we propose an open-source monocular omnidirectional version of the state-of-the-art method Libviso2 that outperforms the original one even in outdoor scenes. This approach is suitable for central dioptric omnidirectional cameras and takes advantage of their wider field of view to calculate the robot motion with a really positive performance on the context of monocular Visual Odometry. We also propose a novel approach to calculate the scale factor that uses matches between laser measures and 3-D triangulated feature points to do so. The novelty of this work consists in the association of the laser ranges with the features on the omnidirectional image. Results were generate using three open-source datasets built in-house showing that our unified system largely outperforms the original monocular version of Libviso2.

Notes

Acknowledgment

This work is co-financed by the European Regional Development Fund (ERDF) through the Interreg V-A Espanha-Portugal Programme (POCTEP) 2014–2020 within project 0095_BIOTECFOR_1_P. This work also was co-financed by the ERDF European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 under the PORTUGAL 2020 Partnership Agreement, and through the Portuguese National Innovation Agency (ANI) as a part of project “ROMOVI: POCI-01-0247-FEDER-017945” The opinions included in this paper shall be the sole responsibility of their authors. The European Commission and the Authorities of the Programme aren’t responsible for the use of information contained therein.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • André Aguiar
    • 1
    Email author
  • Filipe Santos
    • 1
  • Luís Santos
    • 1
  • Armando Sousa
    • 2
  1. 1.INESC TEC - INESC Technology and SciencePortoPortugal
  2. 2.Faculty of Engineering of University of PortoPortoPortugal

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