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The Use of Quick Response (QR) Codes in Landmark-Based Pedestrian Navigation
Author(s) -
Anahid Basiri,
Pouria Amirian,
Adam C. Winstanley
Publication year - 2014
Publication title -
international journal of navigation and observation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.176
H-Index - 18
eISSN - 1687-6008
pISSN - 1687-5990
DOI - 10.1155/2014/897103
Subject(s) - landmark , doors , computer science , turn by turn navigation , pedestrian , computer vision , code (set theory) , navigation system , artificial intelligence , real time computing , transport engineering , engineering , mobile robot , robot , programming language , set (abstract data type) , robot control , operating system
Vehicle navigation systems usually simply function by calculating the shortest fastest route over a road network. In contrast, pedestrian navigation can have more diverse concerns. Pedestrians are not constrained to road/path networks; their route may involve going into buildings (where accurate satellite locational signals are not available) and they have different priorities, for\udexample, preferring routes that are quieter or more sheltered from the weather. In addition, there are differences in how people are best directed: pedestrians noticing landmarks such as buildings, doors, and steps rather than junctions and sign posts. Landmarks\udexist both indoors and outdoors. A system has been developed that uses quick response (QR) codes affixed to registered landmarks allowing users to localise themselves with respect to their route and with navigational instructions given in terms of these landmarks. In addition, the system includes images of each landmark helping users to navigate visually in addition to through textual instructions and route maps. The system runs on a mobile device; the users use the device’s camera to register each landmark’s QR code and so update their position (particularly indoors) and progress through the route itinerary

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