<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-14T02:19:00Z</responseDate><request verb="GetRecord" identifier="doi:10.18710/HMJVFM" metadataPrefix="oai_datacite">https://dataverse.no/oai</request><GetRecord><record><header><identifier>doi:10.18710/HMJVFM</identifier><datestamp>2025-11-07T02:00:05Z</datestamp><setSpec>dataverseno</setSpec><setSpec>HarvesterDataverseNO</setSpec><setSpec>mechatronics</setSpec><setSpec>uia</setSpec></header><metadata><resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.18710/HMJVFM</identifier><creators><creator><creatorName nameType="Personal">Dybedal, Joacim</creatorName><givenName>Joacim</givenName><familyName>Dybedal</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-8543-7994</nameIdentifier><affiliation>University of Agder</affiliation></creator></creators><titles><title>Replication Data for: CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening</title></titles><publisher>DataverseNO</publisher><publicationYear>2021</publicationYear><subjects><subject>Computer and Information Science</subject><subject>Engineering</subject><subject>RGB-D</subject><subject>Point Cloud</subject><subject>Vision</subject><subject>Human</subject><subject>Classification</subject><subject>Detection</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Dybedal, Joacim</contributorName><givenName>Joacim</givenName><familyName>Dybedal</familyName><affiliation>University of Agder</affiliation></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">University of Agder</contributorName></contributor><contributor contributorType="ResearchGroup"><contributorName>SFI Offshore Mechatronics</contributorName></contributor><contributor contributorType="Distributor"><contributorName nameType="Organizational">University of Agder</contributorName><affiliation>University of Agder</affiliation></contributor></contributors><dates><date dateType="Created">2018-08-24</date><date dateType="Submitted">2021-02-08</date><date dateType="Updated">2024-06-04</date></dates><resourceType resourceTypeGeneral="Dataset">ROS (Robot Operating System) recording</resourceType><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.4173/mic.2021.2.1</relatedIdentifier></relatedIdentifiers><sizes><size>5767</size><size>3297008999</size><size>83031829</size><size>3394579016</size><size>98988636</size><size>3390453771</size><size>67516681</size><size>3525716816</size><size>153524711</size><size>3609201524</size><size>190047741</size><size>3142545246</size><size>271116689</size><size>2911680915</size><size>120280687</size><size>6363670</size><size>8758780</size></sizes><formats><format>text/plain</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>video/webm</format><format>application/zip</format></formats><version>2.1</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</rights></rightsList><descriptions><description descriptionType="Abstract">Dataset used to train and test a human classifier in the article "CNN-based People Detection in Voxel Space using Intensity Measurements and Point Cluster Flattening". The set contains both the raw point cloud data from an outdoor test site, as well as generated images used for training.</description><description descriptionType="TechnicalInfo">Robot Operating System (ROS), Kinetic</description></descriptions><geoLocations><geoLocation><geoLocationPlace>Kristiansand, Norway</geoLocationPlace></geoLocation></geoLocations><fundingReferences><fundingReference><funderName>The Research Council of Norway</funderName><awardNumber>237896</awardNumber></fundingReference></fundingReferences></resource></metadata></record></GetRecord></OAI-PMH>