{"id":"https://openalex.org/W1997384372","doi":"https://doi.org/10.1109/robio.2013.6739786","title":"Victim detection and localisation in an urban disaster site","display_name":"Victim detection and localisation in an urban disaster site","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1997384372","doi":"https://doi.org/10.1109/robio.2013.6739786","mag":"1997384372"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2013.6739786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-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/A5025456113","display_name":"Bhuman Soni","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Bhuman Soni","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales Kensington, NSW, Australia","School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales Kensington, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055952724","display_name":"Arcot Sowmya","orcid":"https://orcid.org/0000-0001-9236-5063"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Arcot Sowmya","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales Kensington, NSW, Australia","School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales Kensington, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025456113"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.8662,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80342137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2142","last_page":"2147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.991599977016449,"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":0.9846000075340271,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.744702935218811},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7418406009674072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7034768462181091},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6347694993019104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6029872894287109},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5882492065429688},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5354013442993164},{"id":"https://openalex.org/keywords/disaster-response","display_name":"Disaster response","score":0.42101147770881653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4043935239315033},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36207708716392517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3499559164047241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3219992518424988},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.2279033362865448}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.744702935218811},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7418406009674072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7034768462181091},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6347694993019104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6029872894287109},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5882492065429688},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5354013442993164},{"id":"https://openalex.org/C3018653863","wikidata":"https://www.wikidata.org/wiki/Q5281355","display_name":"Disaster response","level":3,"score":0.42101147770881653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4043935239315033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36207708716392517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3499559164047241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3219992518424988},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.2279033362865448},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2013.6739786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W99422256","https://openalex.org/W1492541562","https://openalex.org/W1584654036","https://openalex.org/W1603705555","https://openalex.org/W1782590233","https://openalex.org/W1997691213","https://openalex.org/W1998225135","https://openalex.org/W2030356910","https://openalex.org/W2060093359","https://openalex.org/W2084097589","https://openalex.org/W2114387476","https://openalex.org/W2120419212","https://openalex.org/W2124285714","https://openalex.org/W2142741365","https://openalex.org/W2153474050","https://openalex.org/W2156396601","https://openalex.org/W2161969291","https://openalex.org/W2164073431","https://openalex.org/W2535410496","https://openalex.org/W2901136733","https://openalex.org/W4298227764","https://openalex.org/W6756486208","https://openalex.org/W6843698351"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2090763504","https://openalex.org/W2357256365","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W148178222","https://openalex.org/W2348502264","https://openalex.org/W2104657898","https://openalex.org/W2365486383","https://openalex.org/W2362059367"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3],"model":[4],"the":[5,50,60,89,109,122,125,129,134,141],"disaster":[6,72,142],"victim":[7,34,61,145],"detection":[8,36],"problem":[9],"as":[10],"a":[11,14,21,33,40,53,70,75,114,138],"sub-problem":[12],"of":[13,28,59,105,124,140],"larger":[15],"casualty":[16],"assessment":[17],"problem,":[18],"and":[19,39,88,108,136],"propose":[20],"framework":[22,27,126],"to":[23,102],"solve":[24],"it.":[25],"The":[26,56,119],"algorithm":[29,57],"independent":[30],"components":[31,127],"contains":[32],"detector,":[35],"history":[37],"component":[38,44,63,99],"human":[41],"robot":[42,51,131],"interaction":[43],"that":[45,80],"presents":[46],"information":[47,110],"obtained":[48],"by":[49,66],"in":[52,69],"meaningful":[54],"manner.":[55],"independence":[58],"detector":[62,79],"is":[64,100,111],"demonstrated":[65],"experiments":[67,120],"conducted":[68],"simulated":[71],"scenario":[73],"using":[74],"simple":[76],"body":[77,92],"parts":[78,93],"uses":[81],"HOG":[82],"features":[83],"with":[84,128,144],"an":[85],"SVM":[86],"classifier,":[87],"state-of-the-art":[90],"DPM":[91],"detector.":[94],"A":[95],"FastSLAM":[96],"based":[97,116],"mapping":[98],"used":[101],"keep":[103],"track":[104],"unique":[106],"detections":[107],"presented":[112],"via":[113],"tab":[115],"user":[117],"interface.":[118],"demonstrate":[121],"effectiveness":[123],"rescue":[130],"correctly":[132],"identifying":[133],"victims":[135],"presenting":[137],"map":[139],"location":[143],"markers.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}