Map data representation for indoor navigation - a design framework towards a construction of indoor map
Map data representation for indoor navigation - a design framework towards a construction of indoor map
A map is a basic component used in a part of navigation in everyday life, which helps people to find information regarding locations, landmarks, and routes. By GPS and online service map e.g. Google maps, navigating outdoors is easier. Inside buildings, however, navigating would not be so easy due to natural characteristics and limitations of GPS, which has led to the creations of indoor navigation system. Even though the indoor navigation systems have been developed for long time, there are still some limitation in accuracy, reliability and indoor spatial information. Navigating inside without indoor spatial information would be a challenge for the users. Regarding the indoor spatial information, a research question has been drawn on finding an appropriate framework towards map data representation of an indoor public spaces and buildings in order to promote indoor navigation for people, robotics, and autonomous systems. This paper has purposed a list of factors and components used towards the design framework for map data representation of indoor public spaces and buildings. The framework, in this paper, has been presented as a form of a multiple-layered model, which each layer designed for a different propose, with object and information classifications.
91-96
Jeamwatthanachai, Watthanasak
08576ac1-124d-4bfa-8ca2-49e6663161c3
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
16 February 2017
Jeamwatthanachai, Watthanasak
08576ac1-124d-4bfa-8ca2-49e6663161c3
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Jeamwatthanachai, Watthanasak, Wald, Mike and Wills, Gary
(2017)
Map data representation for indoor navigation - a design framework towards a construction of indoor map.
In 2016 International Conference on Information Society (i-Society).
IEEE.
.
(doi:10.1109/i-Society.2016.7854184).
Record type:
Conference or Workshop Item
(Paper)
Abstract
A map is a basic component used in a part of navigation in everyday life, which helps people to find information regarding locations, landmarks, and routes. By GPS and online service map e.g. Google maps, navigating outdoors is easier. Inside buildings, however, navigating would not be so easy due to natural characteristics and limitations of GPS, which has led to the creations of indoor navigation system. Even though the indoor navigation systems have been developed for long time, there are still some limitation in accuracy, reliability and indoor spatial information. Navigating inside without indoor spatial information would be a challenge for the users. Regarding the indoor spatial information, a research question has been drawn on finding an appropriate framework towards map data representation of an indoor public spaces and buildings in order to promote indoor navigation for people, robotics, and autonomous systems. This paper has purposed a list of factors and components used towards the design framework for map data representation of indoor public spaces and buildings. The framework, in this paper, has been presented as a form of a multiple-layered model, which each layer designed for a different propose, with object and information classifications.
Text
i-Society 2016 - Map Data Representation for Indoor Navigation (wj1g14, gbw, mw) - Word.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 5 July 2016
e-pub ahead of print date: October 2016
Published date: 16 February 2017
Additional Information:
Related to:
Jeamwatthanachai, W., Wald, M., & Wills, G. (2017). Map Data Representation for Indoor Navigation by Blind People. International Journal of Chaotic Computing, 4(1), 70-78.
Venue - Dates:
2016 International Conference on Information Society (i-Society), , Dublin, Ireland, 2016-10-10 - 2016-10-13
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 402283
URI: http://eprints.soton.ac.uk/id/eprint/402283
PURE UUID: edc60295-b695-490f-a8e3-6c8b3a695c97
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Date deposited: 04 Nov 2016 14:32
Last modified: 17 Mar 2024 02:43
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Contributors
Author:
Watthanasak Jeamwatthanachai
Author:
Mike Wald
Author:
Gary Wills
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