{"id":"https://openalex.org/W4389101831","doi":"https://doi.org/10.1109/sensors56945.2023.10324877","title":"Lane Detection and Estimation from Surround View Camera Sensing Systems","display_name":"Lane Detection and Estimation from Surround View Camera Sensing Systems","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4389101831","doi":"https://doi.org/10.1109/sensors56945.2023.10324877"},"language":"en","primary_location":{"id":"doi:10.1109/sensors56945.2023.10324877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors56945.2023.10324877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE SENSORS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101882265","display_name":"Ting Yuan","orcid":"https://orcid.org/0000-0002-0713-5974"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Yuan","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064842849","display_name":"Wenqi Cao","orcid":"https://orcid.org/0000-0002-3811-2337"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Cao","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071490696","display_name":"Shuqi Zhang","orcid":"https://orcid.org/0000-0001-9443-9417"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqi Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077958595","display_name":"Kaipei Yang","orcid":"https://orcid.org/0000-0001-6739-8541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaipei Yang","raw_affiliation_strings":["University of Connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102584701","display_name":"Markus Schoen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090154","display_name":"Daimler (United Kingdom)","ror":"https://ror.org/00ac5t267","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090154","https://openalex.org/I891521709"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Markus Schoen","raw_affiliation_strings":["Daimler AG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daimler AG","institution_ids":["https://openalex.org/I4210090154"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046915434","display_name":"Bharanidhar Duraisamy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090154","display_name":"Daimler (United Kingdom)","ror":"https://ror.org/00ac5t267","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090154","https://openalex.org/I891521709"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bharanidhar Duraisamy","raw_affiliation_strings":["Daimler AG"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daimler AG","institution_ids":["https://openalex.org/I4210090154"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7419,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87042573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9817000031471252,"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":0.7298254370689392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6456114053726196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5898372530937195},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44304782152175903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298254370689392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6456114053726196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5898372530937195},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44304782152175903},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors56945.2023.10324877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors56945.2023.10324877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE SENSORS","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":18,"referenced_works":["https://openalex.org/W1521536543","https://openalex.org/W1999050017","https://openalex.org/W2013878778","https://openalex.org/W2047030012","https://openalex.org/W2089406672","https://openalex.org/W2098719466","https://openalex.org/W2124150263","https://openalex.org/W2131076267","https://openalex.org/W2132092299","https://openalex.org/W2139137304","https://openalex.org/W2144922748","https://openalex.org/W2159132531","https://openalex.org/W2245943671","https://openalex.org/W2264563156","https://openalex.org/W2327992289","https://openalex.org/W2336416123","https://openalex.org/W2559728122","https://openalex.org/W6692890095"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1],"poses":[2],"unique":[3],"challenges":[4],"for":[5,49,64,155,164,208],"vehicle":[6,31,66],"environment":[7],"perception":[8],"systems.":[9],"It":[10],"is":[11,40],"highly":[12,123],"desirable":[13],"that":[14,94],"we":[15,75,169,196],"utilize":[16,132],"existing":[17],"vehicle-equipped":[18],"driver-assistant":[19],"sensors,":[20],"without":[21,68],"hardware":[22,70],"change,":[23],"to":[24,109,137],"achieve":[25],"driverless":[26],"performance.":[27],"Current":[28],"product":[29],"level":[30],"surround":[32],"view":[33,45],"camera":[34],"module":[35],"(denoted":[36],"concisely":[37],"as":[38,42],"SVS)":[39],"served":[41],"a":[43,83,127,133,149,160,175,190],"panoramic":[44],"visual":[46],"aid":[47],"tool":[48],"low-automation":[50],"applications.":[51,214],"With":[52],"proper":[53],"statistical":[54,176],"analysis,":[55],"the":[56,92,97,122,156,165,179],"multiple":[57],"mono-camera":[58],"information":[59,115],"can":[60],"be":[61],"very":[62],"useful":[63],"higher":[65],"intelligence":[67],"significant":[69,205],"change.":[71],"In":[72,189],"this":[73,106],"study,":[74,195],"focus":[76],"on":[77,112],"lane":[78,118,184,199,209],"detection":[79,200],"and":[80,101,116,159,174,185,201],"estimation":[81,202],"from":[82],"SVS":[84,98],"only":[85],"system.":[86],"The":[87,142],"major":[88],"difficulty":[89],"lies":[90],"in":[91,126,212],"fact":[93],"mono-cameras":[95],"of":[96,103,178,204],"are":[99,146],"non-cooperative":[100],"essentially":[102],"protractor":[104],"nature;":[105],"would":[107],"lead":[108],"large":[110],"uncertainty":[111],"object":[113],"depth":[114],"incomplete":[117],"observations.":[119],"We":[120,130],"process":[121],"distorted":[124],"data":[125],"multi-stage":[128],"manner.":[129],"first":[131],"neural":[134],"network":[135],"classifier":[136],"yield":[138],"labeled":[139],"lane-relevant":[140],"objects.":[141],"lane$m$ark$s$/edges":[143],"point":[144],"clouds":[145],"processed":[147],"by":[148],"truncated":[150],"Gaussian":[151],"random":[152],"field":[153],"model":[154,163],"spatial":[157],"filtering":[158],"fading":[161],"memory":[162],"temporal":[166],"filtering.":[167],"Then":[168],"present":[170],"polynomial":[171],"fitting":[172,180],"scheme":[173],"analysis":[177],"errors":[181],"reveals":[182],"good":[183],"ego-vehicle":[186],"orientation":[187],"cues.":[188],"parking":[191],"lot":[192],"real":[193],"world":[194],"show":[197],"promising":[198],"performance":[203],"practical":[206],"implications":[207],"keeping":[210],"capability":[211],"high-automation":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
