People Detection and Localization in Real Time during Navigation of Autonomous Robots

Simple item page
dc.contributor.authorLovon Ramos, Percy
dc.contributor.authorRosas Cuevas, Yessica
dc.contributor.authorCervantes Jilaja, Claudia
dc.contributor.authorTejada Begazo, María Fernanda
dc.contributor.authorPatiño Escarcina, Raquel Esperanza
dc.contributor.authorBarrios Aranibar, Dennis
dc.date.accessioned2019-01-29T22:19:52Z
dc.date.available2019-01-29T22:19:52Z
dc.date.issued2016
dc.description.abstractCurrently the navigation involves the interaction of the robot with its environment, this means that the robot has to find the position of obstacles (natural brands and artificial) with respect to its plane. Its environment is time-variant and computer vision can help it to localization and people detection in real time. This article focuses on the detection and localization of people with respect to plane of the robot during the navigation of autonomous robot, for people detection is used Morphological HOG Face Detection algorithm in real-time, where our goal is to localization people in the plane of the robot, obtaining position information relative to the X-Axis (left, right, obstacle) and with the Y-Axis (near, medium, far) with respect robot, to identify the environment in that it's located in the robot is applied the vanishing point detection. Experiments show that people detection and localization is better in the medium region (201 to 600 cm) obtaining 93.13% of accuracy, this allows the robot has enough time to evade the obstacle during navigation, the navigation getting 97.03% of accuracy for the vanishing point detection. © 2016 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1109/LARS-SBR.2016.47es_PE
dc.identifier.isbnurn:isbn:9781509036561es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15825
dc.language.isoenges_PE
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85010427023&doi=10.1109%2fLARS-SBR.2016.47&partnerID=40&md5=8468bced97711a23659355be54e33e96es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectComputer visiones_PE
dc.subjectFace recognitiones_PE
dc.subjectNavigationes_PE
dc.subjectRoboticses_PE
dc.subjectAutonomous vehicle navigationes_PE
dc.subjectDetection and localizationes_PE
dc.subjectFace detection algorithmes_PE
dc.subjectHOG methodes_PE
dc.subjectPeople detectiones_PE
dc.subjectPosition informationes_PE
dc.subjectVanishing pointes_PE
dc.subjectVanishing point detectiones_PE
dc.subjectRobotses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titlePeople Detection and Localization in Real Time during Navigation of Autonomous Robotses_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
Files
Collections
Artículos - Ciencias de la Computación