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).
A novel framework for supporting mobile object self-localization via emerging artificial intelligence tools
Cuzzocrea A.
;Camilotti L.;Mumolo E.
2021-01-01
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).File in questo prodotto:
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