Use of Intelligent Navigation and Crowd Collaboration for Automated Collection of Data on Transport Infrastructure
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26742659%3A_____%2F22%3AN0000002" target="_blank" >RIV/26742659:_____/22:N0000002 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.18267/j.aip.195" target="_blank" >https://doi.org/10.18267/j.aip.195</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Use of Intelligent Navigation and Crowd Collaboration for Automated Collection of Data on Transport Infrastructure
Original language description
The article briefly presents the main results of an applied research project to the professional public. The project output is a solution that enables the recognition of selected types of traffic signs using artificial intelligence for image recognition. This computationally intensive process is implemented in mobile phones. In order to achieve the involvement of the general public in the collection of data on transport infrastructure, the entire solution is part of navigation for mobile phones and supported by two functions that motivate users to collect data, i.e., scan the area in front of the vehicle with the phone's camera.
Czech name
—
Czech description
—
Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
—
OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/CK01000099" target="_blank" >CK01000099: New methods of using ITS application for automatic collection of traffic infrastructure data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Informatica Pragensia
ISSN
1805-4951
e-ISSN
—
Volume of the periodical
11
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
458-466
UT code for WoS article
—
EID of the result in the Scopus database
—