{"id":"https://openalex.org/W1966884025","doi":"https://doi.org/10.1109/ivs.2013.6629624","title":"A lidar-based method for the detection and counting of Powered Two Wheelers","display_name":"A lidar-based method for the detection and counting of Powered Two Wheelers","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1966884025","doi":"https://doi.org/10.1109/ivs.2013.6629624","mag":"1966884025"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","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/A5076500341","display_name":"Yadu Prabhakar","orcid":"https://orcid.org/0000-0003-4028-6587"},"institutions":[{"id":"https://openalex.org/I199932263","display_name":"Northern Alberta Institute of Technology","ror":"https://ror.org/056v48353","country_code":"CA","type":"education","lineage":["https://openalex.org/I199932263"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yadu Prabhakar","raw_affiliation_strings":["Northern Alberta Institute of Technology, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Northern Alberta Institute of Technology, Edmonton, Canada","institution_ids":["https://openalex.org/I199932263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008877350","display_name":"Peggy Subirats","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peggy Subirats","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015980448","display_name":"Christ\u00e8le Lecomte","orcid":"https://orcid.org/0009-0008-8083-449X"},"institutions":[{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christele Lecomte","raw_affiliation_strings":["Universit\u00e9 de Rouen Normandie, Rouen, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Rouen Normandie, Rouen, France","institution_ids":["https://openalex.org/I62396329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031111441","display_name":"Eric Violette","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Violette","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108358495","display_name":"Abdelaziz Bensrhair","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelaziz Bensrhair","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076500341"],"corresponding_institution_ids":["https://openalex.org/I199932263"],"apc_list":null,"apc_paid":null,"fwci":0.8759,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76786535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1167","last_page":"1172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.9965999722480774,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.7360913157463074},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6893098950386047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516075134277344},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6198358535766602},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.47764599323272705},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4563503861427307},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.42308181524276733},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.42178624868392944},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3523721694946289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3402824401855469},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.27361762523651123},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2109902799129486},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0881907045841217},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.07963970303535461}],"concepts":[{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.7360913157463074},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6893098950386047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516075134277344},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6198358535766602},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.47764599323272705},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4563503861427307},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.42308181524276733},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.42178624868392944},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3523721694946289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3402824401855469},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.27361762523651123},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2109902799129486},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0881907045841217},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.07963970303535461},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2013.6629624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320329938","display_name":"R\u00e9gion Normandie","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1557449135","https://openalex.org/W2059385239","https://openalex.org/W2069841008","https://openalex.org/W2125777060","https://openalex.org/W2133689585","https://openalex.org/W2146236171","https://openalex.org/W2156307516","https://openalex.org/W2161641234","https://openalex.org/W2167061621","https://openalex.org/W6633279243"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4221065211"],"abstract_inverted_index":{"The":[0,128,193],"safety":[1],"of":[2,26,53,78,120,144,154,174],"Powered":[3],"Two":[4],"Wheelers":[5],"(PTWs)":[6],"is":[7,66,141,189,196],"important":[8],"for":[9,191],"public":[10],"authorities":[11],"and":[12,81,108,126,201],"road":[13,58,93],"administrators":[14],"around":[15],"the":[16,27,42,54,57,88,92,163,172,175,180],"world.":[17],"Official":[18],"figures":[19,36],"show":[20],"that":[21,73],"PTW":[22],"represent":[23],"only":[24],"2%":[25],"total":[28],"traffic":[29,123],"on":[30,56,91,105],"French":[31],"roads,":[32],"but":[33],"as":[34],"these":[35],"are":[37],"obtained":[38],"by":[39,157],"simply":[40],"counting":[41],"number":[43],"plates":[44],"registered,":[45],"they":[46],"do":[47],"not":[48,136],"give":[49],"a":[50,75,106,151,159,184,206],"true":[51],"picture":[52],"PTWs":[55,80,99,156],"at":[59],"any":[60],"given":[61],"moment.":[62],"To":[63],"date,":[64],"there":[65],"no":[67,109],"overall":[68],"solution":[69],"to":[70,116,178],"this":[71,118,132,147],"problem":[72],"uses":[74,171],"sensor":[76],"capable":[77],"detecting":[79,155],"taking":[82],"into":[83],"consideration":[84],"their":[85],"interaction":[86],"with":[87,205],"other":[89],"vehicles":[90],"(for":[94],"example:":[95],"Inter-lane":[96],"traffic,":[97],"when":[98],"move":[100],"in":[101,122,131,198],"between":[102],"two":[103],"lanes":[104],"highway),":[107],"state-of-the-art":[110],"technical":[111],"solutions":[112],"can":[113],"be":[114],"adapted":[115],"measure":[117],"category":[119],"vehicle":[121],"(unlike":[124],"cars":[125],"trucks).":[127],"research":[129],"work":[130],"domain":[133],"has":[134],"therefore,":[135],"been":[137],"greatly":[138],"developed":[139],"which":[140],"an":[142],"issue":[143],"concern.":[145],"In":[146],"paper":[148],"we":[149],"present":[150],"new":[152],"method":[153,170,195],"using":[158],"single-plane":[160],"lidar,":[161],"named":[162],"Last":[164],"Line":[165],"Check":[166],"(LLC)":[167],"method.":[168],"This":[169],"energy":[173],"last":[176],"scan":[177],"extract":[179],"information.":[181],"After":[182],"extraction,":[183],"Support":[185],"Vector":[186],"Machine":[187],"(SVM)":[188],"used":[190],"classification.":[192],"LLC":[194],"tested":[197],"real":[199],"time":[200],"gives":[202],"interesting":[203],"results":[204],"high":[207],"precision.":[208]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
