In this paper, we explore a visualization method using augmented maps for urban prediction. Our implementation allows users to determine the location for prediction in a paper map. As an application example, we examine an area before and after new train station is built. We use the difference between two maps for simulating the changes or predicting the impact if a new train station is built on a location in a paper map. In off-line phase, we gather knowledge data from several reference locations by comparing two aerial maps (before and after the train station is built). We then analyze the difference of green spaces between those two maps using color extraction. We observe that the green space around the new train station mostly decreases due to the area development. This information is then stored for prediction reference. In on-line phase, we use a monocular setup that consists of one camera and a monitor display. A paper map is captured using a web camera and tracked using its geometrical features. These features can be provided using the available data from Geographical Information Systems (GIS) or automatically extracted from the texture. The map is then matched with the reference map in database. When the map is matched, we can overlay the simulation on how the green space will change due to the existence of new train stations on a new location inputted by the user.
Skip Nav Destination
ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis
July 2–4, 2012
Nantes, France
Conference Sponsors:
- International
ISBN:
978-0-7918-4484-7
PROCEEDINGS PAPER
Visualization of Urban Prediction Using Augmented Maps
Sandy Martedi,
Sandy Martedi
Keio University, Yokohama, Japan
Search for other works by this author on:
Sébastien Callier,
Sébastien Callier
Keio University, Yokohama, Japan
Search for other works by this author on:
Pega Sanoamuang,
Pega Sanoamuang
Keio University, Yokohama, Japan
Search for other works by this author on:
Milica Muminović
Milica Muminović
Keio University, Yokohama, Japan
Search for other works by this author on:
Sandy Martedi
Keio University, Yokohama, Japan
Sébastien Callier
Keio University, Yokohama, Japan
Hideo Saito
Keio University, Yokohama, Japan
Pega Sanoamuang
Keio University, Yokohama, Japan
Milica Muminović
Keio University, Yokohama, Japan
Paper No:
ESDA2012-82417, pp. 335-340; 6 pages
Published Online:
August 12, 2013
Citation
Martedi, S, Callier, S, Saito, H, Sanoamuang, P, & Muminović, M. "Visualization of Urban Prediction Using Augmented Maps." Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. Volume 1: Advanced Computational Mechanics; Advanced Simulation-Based Engineering Sciences; Virtual and Augmented Reality; Applied Solid Mechanics and Material Processing; Dynamical Systems and Control. Nantes, France. July 2–4, 2012. pp. 335-340. ASME. https://doi.org/10.1115/ESDA2012-82417
Download citation file:
5
Views
Related Proceedings Papers
Related Articles
Energy Footprint of Urban Services Within Building Infrastructure
J. Sol. Energy Eng (February,2017)
A Framework for Optimal Placement of Rooftop Photovoltaic: Maximizing Solar Production and Operational Cost Savings in Residential Communities
J. Eng. Sustain. Bldgs. Cities (November,2020)
Financial Viability of Energy Conservation Using Natural Light in an Academic Building in Temperate Zone
J. Sol. Energy Eng (December,2016)
Related Chapters
Association-Based Image Retrieval
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Detection of Harmful Insects Based on Gray-Level Cooccurrence Matrix (GLCM) in Rural Areas Mehdi Ebadi
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
Image Retrieval Based on Multiple Features
International Conference on Software Technology and Engineering (ICSTE 2012)