Published August 4, 2018 | Version v1

Associated raw data to the publication: An accurate and efficient camera-based indoor positioning approach for intralogistic environments (MHCL 2015)

  • 1. Technical University of Munich (TUM)

Description

This is a test data set for marker-based augmented reality algorithms used to locate ground conveyors in an industrial environment. It was recorded in the testing area of the chair fml at TUM to develop and evaluate algorithms for locating forklift trucks in the publication "An accurate and efficient camera-based indoor positioning approach for intralogistic environments" at MHCL 2015 conference (see https://mediatum.ub.tum.de/1286589 and http://www.fml.mw.tum.de/fml/images/Publikationen/MHCL_2015_jung_submitted.pdf). Originally these files were recorded and used as uncompressed 8-bit grayscale bitmaps. The images were losslessly compressed to png files in order to reduce the test set file size (by approx. factor 3.5)

Notes

This data set is supplied for historical purposes. Please check https://doi.org/10.5281/zenodo.1323818 for a newer and more advanced version of this kind of data set.

Files

contents.txt

Files (6.4 GB)

Name Size
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228.1 MB Download
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md5:2ebc0872925bc82ceeb853b1ba651a2a
285 Bytes Preview Download
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md5:84b3913619233d16b5746181b4f708e7
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md5:db75e9760ecb7002528b5fa5ae3a6aa2
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md5:caf885af9236558054901bb04515091d
369.6 MB Download

Additional details

Related works

Is previous version of
10.5281/zenodo.1323818 (DOI)