{"id":"https://openalex.org/W2160430375","doi":"https://doi.org/10.1109/ivs.2011.5940392","title":"A comparative study of stereo-matching algorithms for road-modeling in the presence of windscreen wipers","display_name":"A comparative study of stereo-matching algorithms for road-modeling in the presence of windscreen wipers","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2160430375","doi":"https://doi.org/10.1109/ivs.2011.5940392","mag":"2160430375"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2011.5940392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2011.5940392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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/A5041223579","display_name":"Konstantin Schauwecker","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Konstantin Schauwecker","raw_affiliation_strings":["Computer Science Department, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050556894","display_name":"Sandino Morales","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Sandino Morales","raw_affiliation_strings":["Computer Science Department, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061950385","display_name":"Simon Hermann","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Simon Hermann","raw_affiliation_strings":["Computer Science Department, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087111199","display_name":"Reinhard Klette","orcid":"https://orcid.org/0000-0001-8818-7145"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Reinhard Klette","raw_affiliation_strings":["Computer Science Department, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8319,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88495958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"5702","issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9955999851226807,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/matching","display_name":"Matching (statistics)","score":0.702353835105896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649127006530762},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.6243751645088196},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5489866137504578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5075005888938904},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.503039538860321},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4748825430870056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4560047388076782},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20741626620292664},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11964032053947449},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09863421320915222}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.702353835105896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649127006530762},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.6243751645088196},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5489866137504578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5075005888938904},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.503039538860321},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4748825430870056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4560047388076782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20741626620292664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11964032053947449},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09863421320915222},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2011.5940392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2011.5940392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W13512556","https://openalex.org/W1501358589","https://openalex.org/W1586505745","https://openalex.org/W1674866864","https://openalex.org/W1771541921","https://openalex.org/W1776163677","https://openalex.org/W1924453835","https://openalex.org/W1992702096","https://openalex.org/W2101309634","https://openalex.org/W2104974755","https://openalex.org/W2107884096","https://openalex.org/W2112921976","https://openalex.org/W2128357735","https://openalex.org/W2143516773","https://openalex.org/W2151646056","https://openalex.org/W2165114467","https://openalex.org/W2165949176","https://openalex.org/W2168940372","https://openalex.org/W2180905035","https://openalex.org/W4251321576","https://openalex.org/W6600541815","https://openalex.org/W6629878583","https://openalex.org/W6635039227","https://openalex.org/W6638212442","https://openalex.org/W6674950339","https://openalex.org/W6682450420","https://openalex.org/W6685052779"],"related_works":["https://openalex.org/W2362975861","https://openalex.org/W1592682627","https://openalex.org/W2290243676","https://openalex.org/W2385361142","https://openalex.org/W4295762832","https://openalex.org/W2103432623","https://openalex.org/W2366714142","https://openalex.org/W2277362400","https://openalex.org/W2023784850","https://openalex.org/W3185036955"],"abstract_inverted_index":{"In":[0,114],"this":[1],"study":[2],"we":[3,9,19],"examine":[4,55],"three":[5],"road-modeling":[6,17],"methods,":[7],"which":[8,83,129],"evaluate":[10],"on":[11,27,87],"seven":[12],"stereo":[13,39,66,126],"matching":[14,127,139],"algorithms.":[15],"The":[16,37],"methods":[18,64],"consider":[20],"are":[21,41,80,91,100],"a":[22,73],"B-spline":[23,104],"modeling":[24,63,105],"technique":[25],"based":[26],"region-growing":[28],"and":[29,51,65],"two":[30],"versions":[31],"of":[32,46,58,62,82,116],"the":[33,56,59,70,94,95,102,108,117,123,134],"popular":[34],"v-disparity":[35],"approach.":[36],"used":[38],"algorithms":[40,67],"variations":[42],"or":[43],"different":[44],"parameterizations":[45],"belief":[47,120],"propagation,":[48],"graph":[49],"cut":[50],"semi-global":[52],"matching.":[53],"We":[54],"performance":[57],"possible":[60],"combinations":[61],"by":[68],"comparing":[69],"deviation":[71],"towards":[72],"reference":[74],"road":[75],"profile.":[76],"Two":[77],"evaluation":[78],"sequences":[79],"used,":[81],"one":[84],"features":[85],"switched":[86],"windscreen":[88],"wipers":[89],"that":[90,101],"visible":[92],"in":[93,111],"recorded":[96],"imagery.":[97],"Our":[98],"findings":[99],"examined":[103],"method":[106],"provides":[107],"best":[109,132],"results":[110],"most":[112,124],"cases.":[113],"terms":[115],"modeled":[118,148],"distance,":[119],"propagation":[121],"is":[122],"suitable":[125],"method,":[128],"also":[130],"performs":[131],"with":[133,145],"wiper":[135],"sequence.":[136],"Semi":[137],"global":[138],"achieves":[140],"smaller":[141],"model":[142],"deviations,":[143],"but":[144],"drastically":[146],"reduced":[147],"distances.":[149]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}