Lu, Y and Karimi, HA
(2015)
Real-time sidewalk slope calculation through integration of GPS trajectory and image data to assist people with disabilities in navigation.
ISPRS International Journal of Geo-Information, 4 (2).
741 - 753.
Abstract
People with disabilities face many obstacles in everyday outdoor travels. One of the most notable obstacles is steep slope on sidewalk segments. Current navigation systems/services do not all support map databases with slope attributes and cannot calculate sidewalk slope in real time. In this paper, we present a technique for calculating slopes of sidewalk segments by image data and predict the most suitable route for each individual user through integration with GPS trajectory. In our technique we make use of GPS trajectory data, to identify the sidewalk segment on which the traveler will most probably pass, and images of the identified sidewalk segment. Through edge detection techniques we detect edges of objects, such as buildings, billboards, and walls, in the background. Slope of the segment is then calculated by comparing its line representation in the map with the detected edges. Our experiment result indicates effective calculation of sidewalk slopes.
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Item Type: |
Article
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Status: |
Published |
Creators/Authors: |
|
Date: |
1 June 2015 |
Date Type: |
Publication |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Journal or Publication Title: |
ISPRS International Journal of Geo-Information |
Volume: |
4 |
Number: |
2 |
Page Range: |
741 - 753 |
DOI or Unique Handle: |
10.3390/ijgi4020741 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Information Sciences > Information Science |
Refereed: |
Yes |
Date Deposited: |
19 Jun 2015 17:05 |
Last Modified: |
30 Mar 2021 13:55 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/25412 |
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