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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3RNB8L5
Repositorysid.inpe.br/sibgrapi/2018/08.28.21.23
Last Update2018:08.28.21.23.22 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2018/08.28.21.23.22
Metadata Last Update2022:06.14.00.09.11 (UTC) administrator
DOI10.1109/SIBGRAPI.2018.00046
Citation KeyCordeiroPedr:2018:ArCoRi
TitleAn Architecture for Collision Risk Prediction for Visually Impaired People
FormatOn-line
Year2018
Access Date2024, May 02
Number of Files1
Size2069 KiB
2. Context
Author1 Cordeiro, Natal Henrique
2 Pedrino, Emerson Carlos
Affiliation1 Federal Institute of São Paulo and Federal University of São Carlos
2 Federal University of São Carlos
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressnatalhenrique@ifsp.edu.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2018-08-28 21:23:22 :: natalhenrique@ifsp.edu.br -> administrator ::
2022-06-14 00:09:11 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsVisually impaired people
prediction
collision risk
dynamic objects
AbstractThe production of sensory substitution equipment for the visually impaired (VIP) is growing. The aim of this project is to understand the VIP context and predict the risks of collision for the VIP, following an analysis of the position, distance, size and motion of the objects present in their environment. This understanding is refined by data fusion steps applied to the Situation Awareness model to predict possible impacts in the near future. With this goal, a new architecture was designed, composed of systems that detect free passages, static objects, dynamic objects and the paths of these dynamic objects. The detected data was mapped into a 3D plane verifying positions and sizes. For the fusion, a method was developed that compared four more general classifiers in order to verify which presented greater reliability in the given context. These classifiers allowed inferences to be made when analyzing the risks of collision in different directions. The architecture designed for risk prediction is the main contribution of this project.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2018 > An Architecture for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An Architecture for...
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source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3RNB8L5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3RNB8L5
Languageen
Target File37.pdf
User Groupnatalhenrique@ifsp.edu.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 11
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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