{"id":"https://openalex.org/W2793824739","doi":"https://doi.org/10.1109/ipta.2017.8310126","title":"Vehicle boundary improvement and passing vehicle detection in driver assistance by flow distribution","display_name":"Vehicle boundary improvement and passing vehicle detection in driver assistance by flow distribution","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2793824739","doi":"https://doi.org/10.1109/ipta.2017.8310126","mag":"2793824739"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2017.8310126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5101759454","display_name":"Apurba Das","orcid":"https://orcid.org/0000-0002-0642-7502"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Apurba Das","raw_affiliation_strings":["Tata Consultancy Services, Embedded Innovation Laboratory, Bangaloe, India"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services, Embedded Innovation Laboratory, Bangaloe, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091589327","display_name":"K Ruppin","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Ruppin","raw_affiliation_strings":["Tata Consultancy Services, Embedded Innovation Laboratory, Bangaloe, India"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services, Embedded Innovation Laboratory, Bangaloe, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021000194","display_name":"Palak Dave","orcid":"https://orcid.org/0000-0002-7107-3085"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Palak Dave","raw_affiliation_strings":["University of South Florida, USA"],"affiliations":[{"raw_affiliation_string":"University of South Florida, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050384353","display_name":"Sharfudheen Pv","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sharfudheen Pv","raw_affiliation_strings":["Tata Consultancy Services Ltd, Mumbai, Maharashtra, IN"],"affiliations":[{"raw_affiliation_string":"Tata Consultancy Services Ltd, Mumbai, Maharashtra, IN","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101759454"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.5265,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73025972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.6139357089996338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5118883848190308},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5097505450248718},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.42948171496391296},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33513426780700684},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07911965250968933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139357089996338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5118883848190308},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5097505450248718},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.42948171496391296},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33513426780700684},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07911965250968933}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2017.8310126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2017.8310126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W797150976","https://openalex.org/W1595717062","https://openalex.org/W2024003772","https://openalex.org/W2071899532","https://openalex.org/W2100453294","https://openalex.org/W2118456782","https://openalex.org/W2126452053","https://openalex.org/W2129982915","https://openalex.org/W2266543468","https://openalex.org/W2514975825","https://openalex.org/W2751595835","https://openalex.org/W4297666078","https://openalex.org/W6622867534","https://openalex.org/W6635292102"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Research":[0],"in":[1,51,55,74,82,86],"advanced":[2],"driver":[3],"assistance":[4],"system":[5],"(ADAS)":[6],"is":[7,25,63],"an":[8,26],"important":[9,27],"step":[10],"towards":[11],"achieving":[12],"the":[13,46,56,69,96,149],"goal":[14],"of":[15,29,38,48,99,101,132,164,167,175,184],"autonomous":[16],"intelligent":[17],"vehicle.":[18],"Vehicle":[19],"detection":[20,50,75,100,178],"and":[21,58,76,88,104,115,169,173],"its":[22,53],"distance":[23,61,77,106,165],"estimation":[24,62,112,166],"solution":[28],"ADAS":[30,87],"for":[31,148,161],"forward":[32],"collision":[33],"warning":[34],"applications.":[35],"Partial":[36],"occlusions":[37],"passing":[39,102,176],"vehicles":[40,103,168],"makes":[41],"their":[42,59],"detections":[43],"tedious":[44],"yet":[45],"accuracy":[47,78,163,172],"vehicle":[49,177],"all":[52],"forms":[54],"scene":[57],"corresponding":[60],"a":[64,83,146,180],"vital":[65],"factor":[66],"to":[67],"deploy":[68],"solution.":[70],"A":[71],"small":[72],"deviation":[73],"could":[79,142],"end":[80],"up":[81],"greater":[84],"mishap":[85],"AV":[89],"(Autonomous":[90],"Vehicle).":[91],"The":[92,128],"proposed":[93,129],"framework":[94,131],"addresses":[95],"aforementioned":[97],"problems":[98],"perfecting":[105],"measurement":[107],"by":[108],"accurate":[109],"lower":[110],"bound":[111],"through":[113],"Inter":[114],"Intra-Frame":[116],"Flow":[117],"Correspondence":[118],"(I":[119],"<sup":[120,124,134,138],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[121,125,135,139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[122,126,136,140],"F":[123,137],"C).":[127],"generic":[130],"1":[133],"C":[141],"be":[143],"employed":[144],"as":[145],"plug-in":[147],"existing":[150],"machine":[151],"learning":[152,156],"(ML)":[153],"[1]/":[154],"deep":[155],"(DL)":[157],"[2]":[158],"based":[159],"algorithms":[160],"improving":[162],"also":[170],"improve":[171],"performance":[174],"with":[179],"detailed":[181],"mathematical":[182],"model":[183],"motion":[185],"confidence.":[186]},"counts_by_year":[{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
