1. Электронный научный архив УрФУ
  2. 00. Общеуниверситетские коллекции
  3. Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC
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dc.contributor.authorAlvarez, W. M.en
dc.contributor.authorMoreno, F. M.en
dc.contributor.authorSipele, O.en
dc.contributor.authorSmirnov, N.en
dc.contributor.authorOlaverri-Monreal, C.en
dc.date.accessioned2021-08-31T15:07:42Z-
dc.date.available2021-08-31T15:07:42Z-
dc.date.issued2020-
dc.identifier.citationAutonomous Driving: Framework for Pedestrian Intention Estimation in a Real World Scenario / W. M. Alvarez, F. M. Moreno, O. Sipele, et al. — DOI 10.1109/IV47402.2020.9304624 // IEEE Intelligent Vehicles Symposium, Proceedings. — 2020. — P. 39-44. — 9304624.en
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Green3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099884255&doi=10.1109%2fIV47402.2020.9304624&partnerID=40&md5=aebc11a8e797fd9f1fa75edb655c3f80
dc.identifier.otherhttp://arxiv.org/pdf/2006.02711m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/103135-
dc.description.abstractRapid advancements in driver assistance technology will lead to the integration of fully autonomous vehicles on our roads that will interact with other road users. To address the problem that driverless vehicles make interaction through eye contact impossible, we describe a framework for estimating the crossing intentions of pedestrians in order to reduce the uncertainty that the lack of eye contact between road users creates. The framework was deployed in a real vehicle and tested with three experimental cases that showed a variety of communication messages to pedestrians in a shared space scenario. Results from the performed field tests showed the feasibility of the presented approach. © 2020 IEEE.en
dc.description.sponsorshipThis work was supported by the Austrian Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) Endowed Professorship for Sustainable Transport Logistics 4.0 and the Spanish Ministry of Economy, Industry and Competitiveness under TRA201563708-R and TRA2016-78886-C3-1-R Projects.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceIEEE Intell Veh Symp Proc2
dc.sourceIEEE Intelligent Vehicles Symposium, Proceedingsen
dc.subjectAUTOMOBILE DRIVERSen
dc.subjectPEDESTRIAN SAFETYen
dc.subjectROAD VEHICLESen
dc.subjectROADS AND STREETSen
dc.subjectUNCERTAINTY ANALYSISen
dc.subjectAUTONOMOUS DRIVINGen
dc.subjectCOMMUNICATION MESSAGESen
dc.subjectDRIVER ASSISTANCEen
dc.subjectFULLY-AUTONOMOUS VEHICLESen
dc.subjectINTENTION ESTIMATIONen
dc.subjectREAL VEHICLESen
dc.subjectREAL-WORLD SCENARIOen
dc.subjectSHARED SPACESen
dc.subjectAUTONOMOUS VEHICLESen
dc.titleAutonomous Driving: Framework for Pedestrian Intention Estimation in a Real World Scenarioen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1109/IV47402.2020.9304624-
dc.identifier.scopus85099884255-
local.contributor.employeeAlvarez, W.M., Johannes Kepler University, Linz, Austria
local.contributor.employeeMoreno, F.M., Universidad Carlos Iii de Madrid, Intelligent Systems Lab., Spain
local.contributor.employeeSipele, O., Johannes Kepler University, Linz, Austria, Universidad Carlos Iii de Madrid, Computer Science Department, Spain
local.contributor.employeeSmirnov, N., Johannes Kepler University, Linz, Austria, Ural Federal University, Department of Communications Technology, Russian Federation
local.contributor.employeeOlaverri-Monreal, C., Johannes Kepler University, Linz, Austria
local.description.firstpage39-
local.description.lastpage44-
local.contributor.departmentJohannes Kepler University, Linz, Austria
local.contributor.departmentUniversidad Carlos Iii de Madrid, Intelligent Systems Lab., Spain
local.contributor.departmentUniversidad Carlos Iii de Madrid, Computer Science Department, Spain
local.contributor.departmentUral Federal University, Department of Communications Technology, Russian Federation
local.identifier.pure20887665-
local.identifier.puree68a660c-b5b7-4b54-862f-b41bb33d7fccuuid
local.description.order9304624-
local.identifier.eid2-s2.0-85099884255-
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