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Simultaneous Localization and Mapping

Antonio Marangi

Simultaneous Localization and Mapping.

Rel. Eros Gian Alessandro Pasero, Marco Lovera, Marina Mondin. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2019

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Simultaneous Localization and Mapping (SLAM) has been considered by literature the holy grail of the robotics because of many aspects, first above all the enhanced ability of generic unmanned vehicles to move in an unknown and unstructured environment. Anyway, SLAM is a chicken-or-egg problem since for localization a map is needed and for mapping the information about the precise position is required, hence the two aspects cannot be approached independently, indeed their reciprocal relationship determine the real core of the matter. The work aims at describing what SLAM is and how it can be implemented from a theoretical point of view. A revision of the literature and research of actual technologies has been carried on. Last but least an application of this approach has been experimented on an example of service robot acted at escorting and helping airport travelers under the supervision of California State University of Los Angeles in collaboration with the San Diego Airport.

Relators: Eros Gian Alessandro Pasero, Marco Lovera, Marina Mondin
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 95
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: New organization > Master science > LM-25 - AUTOMATION ENGINEERING
Ente in cotutela: California State University Los Angeles (STATI UNITI D'AMERICA)
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/13142
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