{"id":"https://openalex.org/W2085040442","doi":"https://doi.org/10.1109/ivs.2013.6629581","title":"Towards multi-cue urban curb recognition","display_name":"Towards multi-cue urban curb recognition","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2085040442","doi":"https://doi.org/10.1109/ivs.2013.6629581","mag":"2085040442"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629581","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":"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/A5040116973","display_name":"Markus Enzweiler","orcid":"https://orcid.org/0000-0001-9211-9882"},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Enzweiler","raw_affiliation_strings":["Environment Perception Group, Daimler AG Group Research & Advanced Engineering, Sindelfingen, Germany","Environ. Perception Group, Daimler AG Group Res. & Adv. Eng., Sindelfmgen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Environment Perception Group, Daimler AG Group Research & Advanced Engineering, Sindelfingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Environ. Perception Group, Daimler AG Group Res. & Adv. Eng., Sindelfmgen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089533910","display_name":"Pierre Greiner","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pierre Greiner","raw_affiliation_strings":["Environment Perception Group, Daimler AG Group Research & Advanced Engineering, Sindelfingen, Germany","Environ. Perception Group, Daimler AG Group Res. & Adv. Eng., Sindelfmgen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Environment Perception Group, Daimler AG Group Research & Advanced Engineering, Sindelfingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Environ. Perception Group, Daimler AG Group Res. & Adv. Eng., Sindelfmgen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011195108","display_name":"Carsten Kn\u00f6ppel","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carsten Knoppel","raw_affiliation_strings":["Environment Perception Group, Daimler AG Group Research & Advanced Engineering, Sindelfingen, Germany","Environ. Perception Group, Daimler AG Group Res. & Adv. Eng., Sindelfmgen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Environment Perception Group, Daimler AG Group Research & Advanced Engineering, Sindelfingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Environ. Perception Group, Daimler AG Group Res. & Adv. Eng., Sindelfmgen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109566845","display_name":"Uwe Franke","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uwe Franke","raw_affiliation_strings":["Environment Perception Group, Daimler AG Group Research & Advanced Engineering, Sindelfingen, Germany","Environ. Perception Group, Daimler AG Group Res. & Adv. Eng., Sindelfmgen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Environment Perception Group, Daimler AG Group Research & Advanced Engineering, Sindelfingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Environ. Perception Group, Daimler AG Group Res. & Adv. Eng., Sindelfmgen, Germany","institution_ids":["https://openalex.org/I891521709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I891521709"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"902","last_page":"907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9977999925613403,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9957000017166138,"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":0.712631106376648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7049279808998108},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6710566282272339},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5483570098876953},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5471068024635315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4760796129703522},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.453460156917572},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43664035201072693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.712631106376648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7049279808998108},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6710566282272339},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5483570098876953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5471068024635315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4760796129703522},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.453460156917572},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43664035201072693}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2013.6629581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629581","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":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W42569199","https://openalex.org/W1557515246","https://openalex.org/W1618905105","https://openalex.org/W1972483587","https://openalex.org/W1994566837","https://openalex.org/W2003844821","https://openalex.org/W2022686119","https://openalex.org/W2071076724","https://openalex.org/W2102724336","https://openalex.org/W2117248802","https://openalex.org/W2132549764","https://openalex.org/W2139479830","https://openalex.org/W2146229414","https://openalex.org/W2150425096","https://openalex.org/W2156909104","https://openalex.org/W2159132531","https://openalex.org/W2161969291","https://openalex.org/W2165715042","https://openalex.org/W6601686688","https://openalex.org/W6633617711","https://openalex.org/W6636501900","https://openalex.org/W6675380327","https://openalex.org/W6684155742"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2082269393","https://openalex.org/W2043960970"],"abstract_inverted_index":{"This":[0,32],"paper":[1],"presents":[2],"a":[3,14,28,63,74,112],"multi-cue":[4,54,93],"approach":[5],"to":[6],"curb":[7,17,55,94,102,118],"recognition":[8,69],"in":[9,25,79,96,101],"urban":[10,67,80],"traffic.":[11],"We":[12,50,86],"propose":[13],"novel":[15],"texture-based":[16],"classifier":[18,56,95],"using":[19],"local":[20],"receptive":[21],"field":[22],"(LRF)":[23],"features":[24],"conjunction":[26],"with":[27,82],"multi-layer":[29],"neural":[30],"network.":[31],"classification":[33],"module":[34,61],"operates":[35],"on":[36,41],"both":[37],"intensity":[38],"images":[39],"and":[40],"three-dimensional":[42],"height":[43],"profile":[44],"data":[45],"derived":[46],"from":[47],"stereo":[48],"vision.":[49],"integrate":[51],"the":[52,88,91,99,106,116],"proposed":[53,92],"as":[57],"an":[58],"additional":[59],"measurement":[60],"into":[62],"state-of-the-art":[64],"Kaiman":[65],"filter-based":[66],"lane":[68],"system.":[70,108],"Our":[71,109],"experiments":[72],"involve":[73],"challenging":[75],"real-world":[76],"dataset":[77],"captured":[78],"traffic":[81],"manually":[83],"labeled":[84],"ground-truth.":[85],"quantify":[87],"benefit":[89],"of":[90,98,105,115],"terms":[97],"improvement":[100],"localization":[103,119],"accuracy":[104],"integrated":[107],"results":[110],"indicate":[111],"25%":[113],"reduction":[114],"average":[117],"error":[120],"at":[121],"real-time":[122],"processing":[123],"speeds.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
