{"id":"https://openalex.org/W1887336019","doi":"https://doi.org/10.1109/iccv.1993.378154","title":"Active and intelligent sensing of road obstacles: Application to the European Eureka-PROMETHEUS project","display_name":"Active and intelligent sensing of road obstacles: Application to the European Eureka-PROMETHEUS project","publication_year":2002,"publication_date":"2002-12-30","ids":{"openalex":"https://openalex.org/W1887336019","doi":"https://doi.org/10.1109/iccv.1993.378154","mag":"1887336019"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.1993.378154","doi":"https://doi.org/10.1109/iccv.1993.378154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.1993.378154","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1993 (4th) International Conference on Computer Vision","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5071487619","display_name":"Ming Xie","orcid":"https://orcid.org/0000-0001-8013-7274","observed_orcids":["https://orcid.org/0000-0001-8013-7274"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I4210106545","display_name":"Centre Inria d'Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"]}],"countries":["FR","SG"],"is_corresponding":false,"raw_author_name":"M. Xie","raw_affiliation_strings":["I.N.R.I.A. Sophia Antipolis, Sophia-Antipolis, France","Institute of Manufacturing Technology, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"I.N.R.I.A. Sophia Antipolis, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I4210106545"]},{"raw_affiliation_string":"Institute of Manufacturing Technology, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082769962","display_name":"Laurent Trassoudaine","orcid":"https://orcid.org/0000-0002-3486-3918","observed_orcids":["https://orcid.org/0000-0002-3486-3918"]},"institutions":[{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Trassoudaine","raw_affiliation_strings":["Laboratoire \u010fElectronique, Universit\u00e9 de Clermont-Ferrand, Aubiere, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire \u010fElectronique, Universit\u00e9 de Clermont-Ferrand, Aubiere, France","institution_ids":["https://openalex.org/I198244214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051423689","display_name":"Joseph Alizon","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Alizon","raw_affiliation_strings":["Laboratoire \u010fElectronique, Universit\u00e9 de Clermont-Ferrand, Aubiere, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire \u010fElectronique, Universit\u00e9 de Clermont-Ferrand, Aubiere, France","institution_ids":["https://openalex.org/I198244214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045859215","display_name":"Monique Thonnat","orcid":"https://orcid.org/0000-0002-7088-5399","observed_orcids":["https://orcid.org/0000-0002-7088-5399"]},"institutions":[{"id":"https://openalex.org/I4210106545","display_name":"Centre Inria d'Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Thonnat","raw_affiliation_strings":["I.N.R.I.A. Sophia Antipolis, Sophia-Antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"I.N.R.I.A. Sophia Antipolis, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I4210106545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113559997","display_name":"J. Gallice","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Gallice","raw_affiliation_strings":["Laboratoire \u010fElectronique, Universit\u00e9 de Clermont-Ferrand, Aubiere, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire \u010fElectronique, Universit\u00e9 de Clermont-Ferrand, Aubiere, France","institution_ids":["https://openalex.org/I198244214"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3335,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86531042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"616","last_page":"623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9907000064849854,"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":0.9907000064849854,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.00430000014603138,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.0010999999940395355,"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/road-obstacle-detection","display_name":"road obstacle detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/ccd-detector","display_name":"CCD detector","score":0.9570000171661377},{"id":"https://openalex.org/keywords/vehicle-mounted-sensors","display_name":"vehicle-mounted sensors","score":0.7559999823570251},{"id":"https://openalex.org/keywords/line-segment-features","display_name":"line segment features","score":0.7670000195503235},{"id":"https://openalex.org/keywords/3d-object-reconstruction","display_name":"3D object reconstruction","score":0.6940000057220459},{"id":"https://openalex.org/keywords/intelligent-sensing","display_name":"smart sensing","score":0.49399998784065247}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7455841898918152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7227598428726196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6900714039802551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657372713088989},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6436790823936462},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.5085619688034058},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4789217710494995},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46541547775268555},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14019978046417236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1162155270576477},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07392993569374084},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.1993.378154","doi":"https://doi.org/10.1109/iccv.1993.378154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.1993.378154","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1993 (4th) International Conference on Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4943999946117401,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321409","display_name":"Aalborg Universitet","ror":"https://ror.org/04m5j1k67"},{"id":"https://openalex.org/F4320329948","display_name":"Pan African Materials Institute","ror":"https://ror.org/04tj78y89"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1483898900","https://openalex.org/W2013486464","https://openalex.org/W2043642041","https://openalex.org/W2069239883","https://openalex.org/W2076287024","https://openalex.org/W2148149886"],"related_works":["https://openalex.org/W1974055289","https://openalex.org/W2557393457","https://openalex.org/W1180362588","https://openalex.org/W2097851940","https://openalex.org/W1989584171","https://openalex.org/W2168789465","https://openalex.org/W2712052942","https://openalex.org/W2167628042","https://openalex.org/W2079474703","https://openalex.org/W2120852160"],"abstract_inverted_index":{"The":[0,37,53,84,116,155],"authors":[1],"address":[2],"the":[3,51,65,69,80,91,107,125,142,145,148],"problem":[4,86],"of":[5,12,34,50,68,79,87,93,95,102,118,122,127,144,147],"road":[6,104],"obstacle":[7],"detection.":[8],"A":[9],"sensor":[10,29],"composed":[11],"an":[13,153],"eyesafe":[14],"laser":[15],"range":[16,54,156],"finder":[17,55,157],"coupled":[18,22],"with":[19,141],"a":[20,35,103,119,128,164],"charge":[21],"device":[23],"(CCD)":[24],"camera":[25],"is":[26,30,40,56,90],"proposed.":[27],"This":[28],"mounted":[31],"in":[32,47,152],"front":[33],"vehicle.":[36],"basic":[38],"idea":[39],"to":[41,61,75,160],"first":[42],"determine":[43],"2-D":[44,96,165],"visual":[45,71,82,97,135,166],"targets":[46,72,98,136],"intensity":[48,100],"images":[49,101],"camera.":[52],"then":[57],"used":[58,159],"not":[59],"only":[60],"confirm":[62,161],"or":[63,162],"reject":[64,163],"real":[66],"existence":[67],"detected":[70],"but":[73],"also":[74],"acquire":[76],"3-D":[77],"information":[78],"confirmed":[81],"targets.":[83],"central":[85],"this":[88],"strategy":[89],"method":[92],"detection":[94],"from":[99],"scene.":[105],"In":[106],"method,":[108],"line":[109,120,130,150],"segments":[110,151],"are":[111,132],"considered":[112],"as":[113],"significant":[114],"features.":[115],"concept":[117,126],"segment":[121,131],"interest":[123],"and":[124],"dominant":[129,149],"used.":[133],"Two-imensional":[134],"can":[137],"be":[138],"effectively":[139],"determined":[140],"help":[143],"identification":[146],"image.":[154],"was":[158],"target.>":[167]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}