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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

Λιλίτσης, Πρόδρομος Ε.

Thesis advisor

Πλεξουσάκης, Δημήτρης

Reviewer

Παπαγιαννάκης, Γιώργος
Φλουρής, Αντώνης

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.

Language

English

Subject

Reasoning

Semantic web

Σημασιολογικός ιστός

Συλλογιστική

Issue date

2017-11-24

Collection

School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses

Type of Work--Post-graduate theses