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A novel framework for supporting mobile object self-localization via emerging artificial intelligence tools

Cuzzocrea A.
•
Camilotti L.
•
Mumolo E.
2021
  • conference object

Abstract
This paper focuses the attention on the problem of supporting mobile object self-localization. The proposed algorithm estimates the distance from the camera lens to the center of the landmarks using only ceiling vision. Localization can be easily obtain from such distance estimations. Projections are geometrically described and the distance estimation is based on the pixels mapping information obtained by a two-dimensional dynamic programming algorithm (2D-DPA).
DOI
10.18293/DMSVIVA2021-019
Archivio
http://hdl.handle.net/11368/2996015
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85112737511
http://ksiresearch.org/seke/dmsviva21.html
Diritti
closed access
license:copyright editore
license:copyright editore
FVG url
https://arts.units.it/request-item?handle=11368/2996015
Soggetti
  • mobile object self-lo...

  • ceiling vision

  • landmark

  • two-dimensional dynam...

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