Long range LiDAR characterisation for obstacle detection for use by the visually impaired and blind

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dc.contributor.authorO'Keeffe, Rosemary
dc.contributor.authorO'Murchu, Cian
dc.contributor.authorMathewson, Alan
dc.contributor.authorGnecchi, Salvatore
dc.contributor.authorBuckley, Steve
dc.contributor.funderHorizon 2020en
dc.contributor.funderStaatssekretariat für Bildung, Forschung und Innovationen
dc.date.accessioned2018-09-24T15:45:25Z
dc.date.available2018-09-24T15:45:25Z
dc.date.issued2018-04
dc.date.updated2018-09-24T15:31:01Z
dc.description.abstractObstacle detection has become a very important area of interest for the automotive industry due to the move towards autonomous vehicles. Since the environment the vehicle has to navigate is ever changing the current best system for obstacle detection is to combine a number of sensors. This means that for the varying weather and lighting conditions the best sensor can be used to provided obstacle detection and avoidance information. The INSPEX H2020 project goal is to use a similar system of multiple sensors to provide personal obstacle detection for visually impaired and blind (VIB) people. Figure 1 shows the INSPEX ambition. Power, weight and size reduction will be key to achieving this goal. In this paper the initial prototype is characterised and improvements beyond typical reduction of key parameters is considered. The INSPEX system will integrate a short range LiDAR (distances up to 5m), an ultrawide band (UWB) RADAR (distances up to 5m), ultrasound (distances up to 2m) and a long range LiDAR (distances up to 10m). The sensors will be miniaturised and the power consumption reduced so that they can be incorporated into a white cane. In this paper the first prototype for the long range LiDAR sensor is characterised for various lighting conditions and distances. The results show that for distances of 3m and 5m consistence obstacle detection can be achieved even in bright lighting conditions but for distances beyond this the detection can be inconsistence and is highly dependent on the lighting conditions.en
dc.description.sponsorshipStaatssekretariat für Bildung, Forschung und Innovation (Swiss Secretariat for Education, Research and Innovation (SERI) under Grant 16.0136 730953)en
dc.description.statusPeer revieweden
dc.description.urihttps://ssi.mesago.com/events/en.htmlen
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationO'Keefe, R., O'Murchu, C., Mathewson, A., Gnecchi, S. and Buckley, S. (2018) 'Long range LiDAR characterisation for obstacle detection for use by the visually impaired and blind', Smart Systems Integration 2018, Dresden, Germany, 11-12 April.en
dc.identifier.endpage4en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/6902
dc.language.isoenen
dc.relation.ispartofSmart Systems Integration 2018
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/730953/EU/Integrated Smart Spatial Exploration System/INSPEXen
dc.relation.urihttps://www.smart-systems-integration.org/public/news-events/events/ssi-2018
dc.rights© 2018 the authors.en
dc.subjectCollision avoidanceen
dc.subjectHandicapped aidsen
dc.subjectMobile robotsen
dc.subjectOptical radaren
dc.subjectUltrasonic devicesen
dc.subjectRange LiDAR characterisation,en
dc.subjectObstacle detection,en
dc.subjectAutonomous vehicles,en
dc.subjectVehicles surroundings,en
dc.subjectRange sensors,en
dc.subjectSmart white cane,en
dc.subjectVisually impaired and blind people,en
dc.subjectSize 10.0 men
dc.subjectLiDARen
dc.subjectCharacterisationen
dc.subjectEmbeddeden
dc.subjectIntegrated systemen
dc.subjectLow-poweren
dc.titleLong range LiDAR characterisation for obstacle detection for use by the visually impaired and blinden
dc.typeConference itemen
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