{"id":"https://openalex.org/W3003348829","doi":"https://doi.org/10.1109/lra.2020.2970570","title":"Smartphone Zombie Detection From LiDAR Point Cloud for Mobile Robot Safety","display_name":"Smartphone Zombie Detection From LiDAR Point Cloud for Mobile Robot Safety","publication_year":2020,"publication_date":"2020-01-30","ids":{"openalex":"https://openalex.org/W3003348829","doi":"https://doi.org/10.1109/lra.2020.2970570","mag":"3003348829"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2020.2970570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.2970570","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087969621","display_name":"Jiaxu Wu","orcid":"https://orcid.org/0000-0002-5978-6963"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiaxu Wu","raw_affiliation_strings":["Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5978-6963","affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089543204","display_name":"Yusuke Tamura","orcid":"https://orcid.org/0000-0003-2981-7578"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Tamura","raw_affiliation_strings":["Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2981-7578","affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083170179","display_name":"Yusheng Wang","orcid":"https://orcid.org/0000-0002-8665-3437"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusheng Wang","raw_affiliation_strings":["Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030815105","display_name":"Hanwool Woo","orcid":"https://orcid.org/0000-0002-8586-4304"},"institutions":[{"id":"https://openalex.org/I5467274","display_name":"Akita Prefectural University","ror":"https://ror.org/05b1kx621","country_code":"JP","type":"education","lineage":["https://openalex.org/I5467274"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hanwool Woo","raw_affiliation_strings":["Department of Intelligent Mechatronices, Akita Prefectural University, Akita, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8586-4304","affiliations":[{"raw_affiliation_string":"Department of Intelligent Mechatronices, Akita Prefectural University, Akita, Japan","institution_ids":["https://openalex.org/I5467274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103157205","display_name":"Alessandro Moro","orcid":"https://orcid.org/0000-0001-8711-0330"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Alessandro Moro","raw_affiliation_strings":["Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021260328","display_name":"Atsushi Yamashita","orcid":"https://orcid.org/0000-0003-1280-069X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Yamashita","raw_affiliation_strings":["Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1280-069X","affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064103302","display_name":"Hajime Asama","orcid":"https://orcid.org/0000-0002-9482-497X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hajime Asama","raw_affiliation_strings":["Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9482-497X","affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6852,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.70923382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"2256","last_page":"2263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7677726745605469},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6663178205490112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6621095538139343},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5920616388320923},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.582991898059845},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5685009956359863},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4893800616264343},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4867270290851593},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4817959666252136},{"id":"https://openalex.org/keywords/zombie","display_name":"Zombie","score":0.4582142233848572},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42665189504623413},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.41031455993652344},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3241025507450104},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21538233757019043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1804530918598175},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1103869080543518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7677726745605469},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6663178205490112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621095538139343},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5920616388320923},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.582991898059845},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5685009956359863},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4893800616264343},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4867270290851593},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4817959666252136},{"id":"https://openalex.org/C144446859","wikidata":"https://www.wikidata.org/wiki/Q219164","display_name":"Zombie","level":2,"score":0.4582142233848572},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42665189504623413},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.41031455993652344},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3241025507450104},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21538233757019043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1804530918598175},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1103869080543518},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2020.2970570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.2970570","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W615858577","https://openalex.org/W1130145270","https://openalex.org/W2016936259","https://openalex.org/W2054421077","https://openalex.org/W2093628576","https://openalex.org/W2102792607","https://openalex.org/W2105431345","https://openalex.org/W2143150216","https://openalex.org/W2170031322","https://openalex.org/W2395369406","https://openalex.org/W2414551140","https://openalex.org/W2554777878","https://openalex.org/W2561106390","https://openalex.org/W2563715243","https://openalex.org/W2589131332","https://openalex.org/W2604216058","https://openalex.org/W2614543743","https://openalex.org/W2739127893","https://openalex.org/W2890001928","https://openalex.org/W2909908358","https://openalex.org/W2910164606","https://openalex.org/W2924078280","https://openalex.org/W2957780123","https://openalex.org/W2963287796","https://openalex.org/W2963727135","https://openalex.org/W2964062501","https://openalex.org/W2964134613","https://openalex.org/W2968296999","https://openalex.org/W6680839740"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2802018156","https://openalex.org/W4313315626","https://openalex.org/W2101531944","https://openalex.org/W2922437833","https://openalex.org/W2100052226","https://openalex.org/W4312696271","https://openalex.org/W4223892596","https://openalex.org/W2933098581"],"abstract_inverted_index":{"Awareness":[0],"of":[1,5,50,127,130],"surrounding":[2],"and":[3,34,88],"prediction":[4],"dangerous":[6,51],"situations":[7],"is":[8,94],"essential":[9],"for":[10,79],"autonomous":[11],"mobile":[12],"robots,":[13],"especially":[14],"during":[15],"navigation":[16],"in":[17,89],"a":[18,39,59,113,124],"human-populated":[19],"environment.":[20],"To":[21],"cope":[22],"with":[23],"safety":[24],"issues,":[25],"state-of-the-art":[26],"works":[27],"have":[28,42],"focused":[29],"on":[30,45,112],"pedestrian":[31,80],"detection,":[32],"tracking,":[33],"trajectory":[35],"prediction.":[36],"However,":[37],"only":[38],"few":[40],"studies":[41],"been":[43,107],"conducted":[44],"recognizing":[46],"some":[47],"specific":[48],"types":[49],"behaviors":[52],"exhibited":[53],"by":[54,96],"pedestrians.":[55],"Here,":[56],"we":[57],"propose":[58],"tracking":[60],"enhanced":[61],"detection":[62,81,142],"method":[63],"to":[64,73],"recognize":[65],"people":[66],"using":[67],"their":[68],"smartphones":[69],"while":[70],"walking,":[71],"referred":[72],"as":[74],"smartphone":[75,131],"zombie.":[76],"Features":[77],"used":[78],"usually":[82],"involve":[83],"the":[84,92,128,140],"rotation":[85],"variance":[86],"problem,":[87],"this":[90],"paper,":[91],"drawback":[93],"handled":[95],"employing":[97],"motion":[98],"information":[99],"from":[100],"multi-object":[101],"tracking.":[102],"The":[103],"proposed":[104],"solution":[105],"has":[106],"validated":[108],"through":[109],"experiments":[110],"performed":[111],"newly":[114],"collected":[115],"dataset.":[116],"Results":[117],"showed":[118],"that":[119],"our":[120],"detector":[121],"can":[122,135],"learn":[123],"distinct":[125],"pattern":[126],"appearance":[129],"zombies.":[132],"Thus,":[133],"it":[134],"successfully":[136],"detect":[137],"them":[138],"outperforming":[139],"existed":[141],"method.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
