{"id":"https://openalex.org/W2767696612","doi":"https://doi.org/10.1155/2017/8104386","title":"Efficient ConvNet Feature Extraction with Multiple RoI Pooling for Landmark-Based Visual Localization of Autonomous Vehicles","display_name":"Efficient ConvNet Feature Extraction with Multiple RoI Pooling for Landmark-Based Visual Localization of Autonomous Vehicles","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2767696612","doi":"https://doi.org/10.1155/2017/8104386","mag":"2767696612"},"language":"en","primary_location":{"id":"doi:10.1155/2017/8104386","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/8104386","pdf_url":"http://downloads.hindawi.com/journals/misy/2017/8104386.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/misy/2017/8104386.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102013608","display_name":"Yi Hou","orcid":"https://orcid.org/0000-0002-0267-7029"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Hou","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430266","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-1677-6132"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada T6G 2E8"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada T6G 2E8","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021023416","display_name":"Shilin Zhou","orcid":"https://orcid.org/0000-0002-6052-9278"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilin Zhou","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102721853","display_name":"Huanxin Zou","orcid":"https://orcid.org/0000-0001-7702-886X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanxin Zou","raw_affiliation_strings":["College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102013608"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":22.8164,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.9892066,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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":0.9063854813575745},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.8355344533920288},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7985503077507019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7456169128417969},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7033851146697998},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.570037305355072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5425854325294495},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5238199830055237},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48924899101257324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43409228324890137},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41870713233947754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9063854813575745},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8355344533920288},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7985503077507019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7456169128417969},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7033851146697998},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.570037305355072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5425854325294495},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5238199830055237},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48924899101257324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43409228324890137},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41870713233947754}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2017/8104386","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/8104386","pdf_url":"http://downloads.hindawi.com/journals/misy/2017/8104386.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e28b0ac2cd5c451187b856459ec09e6b","is_oa":true,"landing_page_url":"https://doaj.org/article/e28b0ac2cd5c451187b856459ec09e6b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2017 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2017/8104386","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/8104386","pdf_url":"http://downloads.hindawi.com/journals/misy/2017/8104386.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6600000262260437,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1494459197","display_name":null,"funder_award_id":"61673125","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2136059220","display_name":null,"funder_award_id":"2015IT100072","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3686306178","display_name":null,"funder_award_id":"2015JJ3018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4180865274","display_name":null,"funder_award_id":"2015IT100072","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G418610320","display_name":null,"funder_award_id":"61673125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4343474868","display_name":null,"funder_award_id":"CX2014B021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4629449638","display_name":null,"funder_award_id":"CX2014B021","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G4630395201","display_name":null,"funder_award_id":"2015IT100072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5853202200","display_name":null,"funder_award_id":"2014B","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6158131849","display_name":null,"funder_award_id":"2015JJ3018","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"},{"id":"https://openalex.org/G7005485985","display_name":null,"funder_award_id":"2015JJ3018","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7351598364","display_name":null,"funder_award_id":"61673125","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G8771349463","display_name":null,"funder_award_id":"CX2014B021","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320326217","display_name":"Hunan Provincial Innovation Foundation for Postgraduate","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2767696612.pdf","grobid_xml":"https://content.openalex.org/works/W2767696612.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1566135517","https://openalex.org/W1612997784","https://openalex.org/W1958328135","https://openalex.org/W1989484209","https://openalex.org/W2030987944","https://openalex.org/W2079112914","https://openalex.org/W2115499947","https://openalex.org/W2144824356","https://openalex.org/W2207423472","https://openalex.org/W2284029970","https://openalex.org/W2291826042","https://openalex.org/W2588764082","https://openalex.org/W2949951751","https://openalex.org/W2951548327","https://openalex.org/W3103648783"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W2620829895","https://openalex.org/W2356918560","https://openalex.org/W2890062830"],"abstract_inverted_index":{"Efficient":[0],"and":[1,99,118,125,160],"robust":[2],"visual":[3],"localization":[4,13,198],"is":[5,62,110],"important":[6],"for":[7,150,157,170],"autonomous":[8,34],"vehicles.":[9,35],"By":[10],"achieving":[11],"impressive":[12],"accuracy":[14],"under":[15],"conditions":[16],"of":[17,27,46,59,79,82,97,134,142,163,191],"significant":[18],"changes,":[19],"ConvNet":[20,47,67,104,137,194],"landmark-based":[21],"approach":[22,38,61],"has":[23],"attracted":[24],"the":[25,42,76,80,131,135,182,187,192],"attention":[26],"people":[28],"in":[29],"several":[30],"research":[31],"communities":[32],"including":[33],"Such":[36],"an":[37,95],"relies":[39],"heavily":[40],"on":[41,175],"outstanding":[43],"discrimination":[44,132],"power":[45,190],"features":[48,68,195],"to":[49,64,111,115,129],"match":[50],"detected":[51],"landmarks":[52],"between":[53],"images.":[54],"However,":[55],"a":[56,89,100],"major":[57],"challenge":[58],"this":[60,72],"how":[63],"extract":[65],"discriminative":[66],"efficiently.":[69],"To":[70],"address":[71],"challenging,":[73],"inspired":[74],"by":[75],"high":[77,147,188],"efficiency":[78,149,156],"region":[81],"interest":[83],"(RoI)":[84],"pooling":[85,93,114],"layer,":[86],"we":[87],"propose":[88],"Multiple":[90],"RoI":[91],"(MRoI)":[92],"technique,":[94],"enhancement":[96],"RoI,":[98],"simple":[101],"yet":[102],"efficient":[103],"feature":[105],"extraction":[106],"method.":[107],"Our":[108],"idea":[109],"leverage":[112],"MRoI":[113],"exploit":[116],"multilevel":[117],"multiresolution":[119],"information":[120],"from":[121],"multiple":[122],"convolutional":[123],"layers":[124],"then":[126],"fuse":[127],"them":[128],"improve":[130],"capacity":[133],"final":[136],"features.":[138],"The":[139],"main":[140],"advantages":[141,184],"our":[143],"method":[144],"are":[145],"(a)":[146],"computational":[148],"real-time":[151],"applications;":[152,159],"(b)":[153],"GPU":[154],"memory":[155],"mobile":[158],"(c)":[161],"use":[162],"pretrained":[164],"model":[165],"without":[166],"fine-tuning":[167],"or":[168],"retraining":[169],"easy":[171],"implementation.":[172],"Experimental":[173],"results":[174],"four":[176],"datasets":[177],"have":[178],"demonstrated":[179],"not":[180],"only":[181],"above":[183],"but":[185],"also":[186],"discriminating":[189],"extracted":[193],"with":[196],"state-of-the-art":[197],"accuracy.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
