{"id":"https://openalex.org/W2105918345","doi":"https://doi.org/10.1109/ivs.2014.6856396","title":"Spider-based Stixel object segmentation","display_name":"Spider-based Stixel object segmentation","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2105918345","doi":"https://doi.org/10.1109/ivs.2014.6856396","mag":"2105918345"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2014.6856396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","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/A5005457699","display_name":"Friedrich Erbs","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Friedrich Erbs","raw_affiliation_strings":["Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Hessen, DE","Comput. Vision Dept., Goethe Univ., Frankfurt am Main, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Hessen, DE","institution_ids":["https://openalex.org/I114090438"]},{"raw_affiliation_string":"Comput. Vision Dept., Goethe Univ., Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049430930","display_name":"Andreas Witte","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Witte","raw_affiliation_strings":["Werkzeugmaschinenlabor der RWTH Aachen, Aachen, Nordrhein-Westfalen, DE","RWTH Aachen, Aachen, , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Werkzeugmaschinenlabor der RWTH Aachen, Aachen, Nordrhein-Westfalen, DE","institution_ids":[]},{"raw_affiliation_string":"RWTH Aachen, Aachen, , Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036143114","display_name":"Timo Scharwaechter","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":"Timo Scharwaechter","raw_affiliation_strings":["Image Understanding, Daimler R&D, B\u00f6blingen, Germany","[Image Understanding, Daimler R&D, B\u00f6blingen, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Understanding, Daimler R&D, B\u00f6blingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"[Image Understanding, Daimler R&D, B\u00f6blingen, Germany]","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048393027","display_name":"Rudolf Mester","orcid":"https://orcid.org/0000-0002-6932-0606"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rudolf Mester","raw_affiliation_strings":["Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Hessen, DE","Comput. Vision Dept., Goethe Univ., Frankfurt am Main, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Goethe-Universitat Frankfurt am Main, Frankfurt am Main, Hessen, DE","institution_ids":["https://openalex.org/I114090438"]},{"raw_affiliation_string":"Comput. Vision Dept., Goethe Univ., Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"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":["Image Understanding, Daimler R&D, B\u00f6blingen, Germany","[Image Understanding, Daimler R&D, B\u00f6blingen, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Understanding, Daimler R&D, B\u00f6blingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"[Image Understanding, Daimler R&D, B\u00f6blingen, Germany]","institution_ids":["https://openalex.org/I891521709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3953","issue":null,"first_page":"906","last_page":"911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.7544537782669067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6898696422576904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6766071319580078},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6547815799713135},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5490303039550781},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5304866433143616},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.47615835070610046},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4154953360557556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08879873156547546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7544537782669067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6898696422576904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6766071319580078},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6547815799713135},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5490303039550781},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5304866433143616},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.47615835070610046},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4154953360557556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08879873156547546},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2014.6856396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","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":31,"referenced_works":["https://openalex.org/W117846078","https://openalex.org/W1542508697","https://openalex.org/W1551429860","https://openalex.org/W1557515246","https://openalex.org/W1588423454","https://openalex.org/W1818661028","https://openalex.org/W1879762224","https://openalex.org/W1983084731","https://openalex.org/W2003844821","https://openalex.org/W2007536425","https://openalex.org/W2017927472","https://openalex.org/W2026197844","https://openalex.org/W2030536784","https://openalex.org/W2034430035","https://openalex.org/W2093993686","https://openalex.org/W2101938307","https://openalex.org/W2107017043","https://openalex.org/W2108556791","https://openalex.org/W2119531662","https://openalex.org/W2121141217","https://openalex.org/W2127494692","https://openalex.org/W2161337244","https://openalex.org/W2165114467","https://openalex.org/W2166518725","https://openalex.org/W2230170002","https://openalex.org/W2536208356","https://openalex.org/W2807981689","https://openalex.org/W6604746279","https://openalex.org/W6632466120","https://openalex.org/W6633617711","https://openalex.org/W6675233517"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W4379231730","https://openalex.org/W1987895267","https://openalex.org/W4389858081","https://openalex.org/W2737719445","https://openalex.org/W2350519135","https://openalex.org/W2795079307","https://openalex.org/W4239098401","https://openalex.org/W2501551404","https://openalex.org/W1834370135"],"abstract_inverted_index":{"Stereo":[0],"vision":[1],"has":[2],"established":[3],"in":[4,28,50,79],"the":[5,17,26,51,89,131,152],"field":[6],"of":[7,55,75,88,130,151],"driver":[8,27],"assistance":[9],"and":[10,62],"vehicular":[11],"safety":[12],"systems.":[13],"Next":[14],"steps":[15],"along":[16],"road":[18],"towards":[19],"accident":[20],"free":[21],"driving":[22],"aim":[23],"to":[24,38,45,67,93,113],"assist":[25],"increasingly":[29],"complex":[30],"situations":[31],"such":[32,117],"as":[33],"inner-city":[34],"traffic.":[35],"In":[36,58,96],"order":[37],"achieve":[39,68],"these":[40],"goals,":[41],"it":[42],"is":[43,108,111,123],"desirable":[44],"incorporate":[46],"higher-order":[47,76,118,153],"object":[48,60,119,138,143,154],"knowledge":[49],"stereo":[52],"vision-based":[53],"understanding":[54],"traffic":[56],"scenes.":[57],"particular,":[59],"shape":[61],"dimension":[63],"information":[64,77],"can":[65,145],"help":[66],"correct":[69],"interpretations.":[70],"However,":[71],"typically":[72],"this":[73,97],"kind":[74],"results":[78],"a":[80,126],"difficult":[81],"energy":[82],"minimization":[83],"problem":[84],"since":[85],"large":[86],"areas":[87],"input":[90],"image":[91],"have":[92],"be":[94,146],"constrained.":[95],"contribution,":[98],"an":[99,135],"efficient":[100,136],"global":[101],"optimization":[102],"approach":[103,122],"based":[104],"on":[105],"dynamic":[106],"programming":[107],"proposed":[109],"that":[110,142],"able":[112],"take":[114],"into":[115],"account":[116],"knowledge.":[120],"The":[121],"built":[124],"upon":[125],"simple":[127],"tree":[128],"representation":[129],"Dynamic":[132],"Stixel":[133],"World,":[134],"super-pixel":[137],"representation.":[139],"Experiments":[140],"show":[141],"segmentation":[144],"improved":[147],"significantly":[148],"by":[149],"means":[150],"information.":[155]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
