3D Vision Sensing for Improved Pedestrian Safety

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dc.contributor.authorGrubb, Grant
dc.contributor.authorZelinsky, Alex
dc.contributor.authorNilsson, Lars
dc.contributor.authorRilbe, Magnus
dc.coverage.spatialParma Italy
dc.date.accessioned2015-12-13T22:39:36Z
dc.date.createdJune 14 2004
dc.date.issued2004
dc.date.updated2015-12-11T09:50:56Z
dc.description.abstractPedestrian-vehicle accidents account for the second largest source of automotive related fatality and injury worldwide. This paper presents a system which detects and tracks pedestrians in realtime for use with automotive Pedestrian Protection Systems (PPS) aimed at reducing such pedestrian-vehicle related injury. The system is based on a passive stereo vision configuration which segments a scene into 3D objects, classifies each object as pedestrian/non-pedestrian and finally tracks the pedestrian in 3D. Our system was implemented and tested on a Volvo test vehicle. Strong results for the system were obtained over a range of simple and complex environments, with average positive and false positive detection rates of 83.5% and 0.4% respectively.
dc.identifier.isbn0780383109
dc.identifier.urihttp://hdl.handle.net/1885/77856
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE Intelligent Vehicles Symposium 2004
dc.sourceProceedings of the IEEE Intelligent Vehicles Symposium
dc.subjectKeywords: Automotive engineering; Highway accidents; Laser beam effects; Stereo vision; Tracking (position); Vision; Automotive applications; Pedestrian detection; Pedestrian protection systems (PPS); Pedestrian vehicle collisions; Pedestrian safety
dc.title3D Vision Sensing for Improved Pedestrian Safety
dc.typeConference paper
local.bibliographicCitation.lastpage24
local.bibliographicCitation.startpage19
local.contributor.affiliationGrubb, Grant, College of Engineering and Computer Science, ANU
local.contributor.affiliationZelinsky, Alex, College of Engineering and Computer Science, ANU
local.contributor.affiliationNilsson, Lars, Volvo Technology Corporation
local.contributor.affiliationRilbe, Magnus, Volvo Technology Corporation
local.contributor.authoremailrepository.admin@anu.edu.au
local.contributor.authoruidGrubb, Grant, u4025490
local.contributor.authoruidZelinsky, Alex, u9615131
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080101 - Adaptive Agents and Intelligent Robotics
local.identifier.ariespublicationMigratedxPub6611
local.identifier.scopusID2-s2.0-4544319826
local.identifier.uidSubmittedByMigrated
local.type.statusPublished Version

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