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Data · dataset · 2022

Paths and Barriers Identification: Algorithm based on LiDAR data

Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp3/nrvt59

The wayfinding system is important for the people on campus.

Description

However, the existed wayfinding system of UBC does not consider some walkable paths which are not shown on the street map. Also, the wayfinding system ignores the barriers like stairs, which could be obstacles for wheelchair users, on the paths.

LiDAR is developed rapidly in recent years. It can collect the elevation information of the objectives on the ground. University of British Columbia (UBC) collects and publishes the LiDAR dataset of campus every year.

Read the rest (2 more)

This project uses the elevation and the point intensity information from the LiDAR point dataset to identify the walkable paths and the barriers on the paths. Two algorithms are announced. The first one is the intensity-based path identification algorithm, which assumes that the concrete paths have a homogenous intensity.

Another algorithm is the barrier identification algorithm, which is based on the Canny edge detection algorithm. As a result, the two algorithms both work well in the research area, and they have the potential to be developed as an automatic process and can be one part of the wayfinding system.

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Where it is published

Catalogue records · 1

Topics

Provenance · 2 source records, 19 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/NRVT5910 d agoJSON v1
Agri-environmental Research Data Dataversedoi:10.5683/SP3/NRVT599 d agoJSON v1
FieldAssertionExtractorEvidence
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