On the mapping of Points of Interest through StreetView imagery and paid crowdsourcing

01/26/2019
by   Eddy Maddalena, et al.
0

The use of volunteers has emerged as low-cost alternative to generate accurate geographical information, an approach known as Volunteered Geographic Information (VGI). However, VGI is limited by the number and availability of volunteers in the area to be mapped, hindering scalability for large areas and making difficult to map within a time-frame. Fortunately, the availability of street-view imagery enables the virtual exploration of urban environments, making possible the recruitment of contributors not necessarily located in the area to be mapped. In this paper, we describe the design, implementation, and evaluation of the Virtual City Explorer (VCE), a system to collect the coordinates of Points of Interest within a bounded area on top of a street view service with the use of paid crowdworkers. Our evaluation suggests that paid crowdworkers are effective for finding PoIs, and cover almost all the area. With respect to completeness, our approach does not find all PoIs found by experts or VGI communities, but is able to find PoIs that were not found by them, suggesting complementarity. We also studied the impact of making PoIs already discovered by a certain number of workers taboo for incoming workers, finding that it encourages more exploration from workers , increase the number of detected PoIs , and reduce costs.

READ FULL TEXT
research
09/10/2019

Investigating the completeness and omission roads of OpenStreetMap data in Hubei, China by comparing with Street Map and Street View

OpenStreetMap (OSM) is a free map of the world which can be edited by gl...
research
04/26/2021

Green View Index Analysis and Optimal Green View Index Path Based on Street View and Deep Learning

Streetscapes are an important part of the urban landscape, analysing and...
research
04/09/2021

Uncovering commercial activity in informal cities

Knowledge of the spatial organisation of economic activity within a city...
research
08/12/2021

Advancing Data for Street-level Flood Vulnerability: Extraction of Variables from Google Street View in Quito, Ecuador

Data relevant to flood vulnerability is minimal and infrequently collect...
research
05/13/2021

Assessing bikeability with street view imagery and computer vision

Studies evaluating bikeability usually compute spatial indicators shapin...
research
09/20/2023

A representation-learning approach for insurance pricing with images

Unstructured data are a promising new source of information that insuran...
research
11/17/2020

Building Movie Map – A Tool for Exploring Areas in a City – and its Evaluation

We propose a new Movie Map system, with an interface for exploring citie...

Please sign up or login with your details

Forgot password? Click here to reset