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  • The aim of the paper is to describe the data-fusion from optical sensors for mobile robotics reconnaissance and mapping. Data are acquired by stereo pair of CCD cameras, stereo pair of thermal imagers, and TOF (time-of-flight) camera. The fusion is realized by means of spatial data from a TOF camera to ensure ”natural” representation of a robot’s environment; thus, the thermal and CCD camera data are comprised in one stereo image presented to a binocular, head-mounted display. The data acquisition is performed using a sensor head, which is placed on an Orpheus-X3 robot; both the head and the robot were developed by our working group. After the geometrical calibration of each sensor, the positions of the sensors in 6DOFs are computed. The corresponding data from the CCD camera and the thermal imager are subsequently determined via homogeneous and perspective transformations. The result consists in an image containing aligned data from the CCD camera and the thermal imager for each eye. TOF camera
  • The aim of the paper is to describe the data-fusion from optical sensors for mobile robotics reconnaissance and mapping. Data are acquired by stereo pair of CCD cameras, stereo pair of thermal imagers, and TOF (time-of-flight) camera. The fusion is realized by means of spatial data from a TOF camera to ensure ”natural” representation of a robot’s environment; thus, the thermal and CCD camera data are comprised in one stereo image presented to a binocular, head-mounted display. The data acquisition is performed using a sensor head, which is placed on an Orpheus-X3 robot; both the head and the robot were developed by our working group. After the geometrical calibration of each sensor, the positions of the sensors in 6DOFs are computed. The corresponding data from the CCD camera and the thermal imager are subsequently determined via homogeneous and perspective transformations. The result consists in an image containing aligned data from the CCD camera and the thermal imager for each eye. TOF camera (en)
Title
  • Multispectral Data Fusion for Robotic Reconnaissance and Mapping
  • Multispectral Data Fusion for Robotic Reconnaissance and Mapping (en)
skos:prefLabel
  • Multispectral Data Fusion for Robotic Reconnaissance and Mapping
  • Multispectral Data Fusion for Robotic Reconnaissance and Mapping (en)
skos:notation
  • RIV/00216305:26620/14:PU112109!RIV15-TA0-26620___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(TE01020197)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
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  • 31124
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26620/14:PU112109
http://linked.open...riv/jazykVysledku
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  • Data Fusion, Sensory Head, Range Camera, CCD Camera, Thermal Imager. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6EF2AB5D0578]
http://linked.open...v/mistoKonaniAkce
  • Vídeň
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  • Portugal
http://linked.open...i/riv/nazevZdroje
  • ICINCO 2014 Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics Volume 2
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burian, František
  • Jílek, Tomáš
  • Žalud, Luděk
  • Kocmanová, Petra
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Neuveden
https://schema.org/isbn
  • 978-989-758-040-6
http://localhost/t...ganizacniJednotka
  • 26620
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