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Identifier |
000412227 |
Title |
Travel companion : a mobile system for trip assistance relying on artificial intelligence and augmented reality |
Alternative Title |
Ταξιδιωτικό βοηθό: μια εφαρμογή για υποβοήθηση ταξιδιών βασιζόμενη σε τεχνητή νοημοσύνη και επαυξημένη πραγματικότητα |
Author
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Λιλίτσης, Πρόδρομος Ε.
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Thesis advisor
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Πλεξουσάκης, Δημήτρης
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Reviewer
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Παπαγιαννάκης, Γιώργος
Φλουρής, Αντώνης
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Abstract |
The last years more and more people are traveling around the world. While car
drivers are already assisted by advanced guidance and navigation facilities, continuous
on-trip assistance for multimodal travelers is still in its infancy. Especially
when it comes to situations of modal change, travelers get discouraged by the increased
complexity and the lack of adequate information and guidance. Some of
them face difficulties and feel stressed when they have to visit another place.
The goal of our research has been to integrate existing information systems,
like Google Maps and Facebook, and to design and implement a prototype of a
digital personal travel assistant for travelers. We recommend Travel Companion:
A mobile system for trip assistance relying on Artificial Intelligence and Augmented
Reality. Travel Companion assists a user through various guidance functions and
offers personalized reminders and recommendations, that are based on user’s current
location and information that is being collected from user’s mobile/tablet
camera. It is mainly useful for people that feel insecure during their trips (e.g.
Elderly, Disabled, people that do not know the local habits or the language of their
destination).
Travel Companion selects routes for traveler’s trip that suits best to his personal
characteristics or potential mobility problems. Traffic data is collected from
Google Maps, while information that refers to personal preferences are collected
from Facebook. Furthermore, personal information, like having a physical condition
that limits their movements, are collected from an RDF Knowledge Base.
We generate the best Travel Plan for user’s profile and provide directions to the
user when he is located at an airport, underground station or bus station and provide
notifications for important upcoming events or milestones in the trip. Our
approach is based on Declarative Reasoning via a Formal language (Answer Set
Programming), RDF and Semantic Web. These alerts could be activated either by
scanning an airport sign (e.g. Check In) or by time limits.
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Language |
English |
Subject |
Reasoning |
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Semantic web |
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Σημασιολογικός ιστός |
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Συλλογιστική |
Issue date |
2017-11-24 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
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Type of Work--Post-graduate theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/e/9/2/metadata-dlib-1513064825-779279-12996.tkl
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Views |
551 |