Petra Kocmanová

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The aim of this paper is to describe the fusion of data acquired from a CCD camera and a thermal imager. 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 color-related data are comprised in one stereo image presented to a binocular, head-mounted(More)
This paper deals with the calibration of scanner Velodyne HDL-64E that is used in field robotic applications. The aim of calibration is to improve the performance in advanced mapping algorithms such as robot evidence grids or octree. The proposed novel calibration method is founded on conditional adjustment for correlated measurements and using close range(More)
The aim of this paper is to describe the data-fusion acquired from a CCD camera and a thermal imager. 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(More)
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(More)
This paper describes a multispectral data fusion system for real-time telepresence and digital mapping applicable in reconnaissance robotics. The system was developed by our team for CASSANDRA, a robotic group comprising several robots with different features controllable from a single operator station. Special emphasis is put on cooperative mapping and(More)
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