{"id":"https://openalex.org/W2399204046","doi":"https://doi.org/10.5220/0004685304190424","title":"In Search of a Car - Utilizing a 3D Model with Context for Object Detection","display_name":"In Search of a Car - Utilizing a 3D Model with Context for Object Detection","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2399204046","doi":"https://doi.org/10.5220/0004685304190424","mag":"2399204046"},"language":"en","primary_location":{"id":"doi:10.5220/0004685304190424","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004685304190424","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004685304190424","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008032322","display_name":"Mikael Nilsson","orcid":"https://orcid.org/0000-0002-6718-5869"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mikael Nilsson","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057919098","display_name":"H\u00e5kan Ard\u00f6","orcid":"https://orcid.org/0000-0001-6214-3662"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H\u00e5kan Ard\u00f6","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008032322"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36767127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"419","last_page":"424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9955000281333923,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-vision","display_name":"Computer vision","score":0.7882611751556396},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.734946072101593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706490695476532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6866491436958313},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6392510533332825},{"id":"https://openalex.org/keywords/ground-plane","display_name":"Ground plane","score":0.6146745681762695},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.566567063331604},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5659540891647339},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5377405285835266},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5201143026351929},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5082032680511475},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.47150272130966187},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4305272698402405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25088536739349365},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2378462255001068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1320791244506836}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7882611751556396},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.734946072101593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706490695476532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6866491436958313},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6392510533332825},{"id":"https://openalex.org/C88764893","wikidata":"https://www.wikidata.org/wiki/Q1547722","display_name":"Ground plane","level":3,"score":0.6146745681762695},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.566567063331604},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5659540891647339},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5377405285835266},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5201143026351929},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5082032680511475},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.47150272130966187},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4305272698402405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25088536739349365},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2378462255001068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1320791244506836},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004685304190424","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004685304190424","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004685304190424","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004685304190424","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2242098268","https://openalex.org/W4244945894","https://openalex.org/W4224881918","https://openalex.org/W2003462717","https://openalex.org/W2802042052","https://openalex.org/W174828583","https://openalex.org/W1987609185","https://openalex.org/W2321986606","https://openalex.org/W2059098648","https://openalex.org/W2012324080"],"abstract_inverted_index":{"Automatic":[0],"video":[1],"analysis":[2],"of":[3,18,25,35,85,95,125],"interactions":[4],"between":[5],"road":[6,13,26],"users":[7],"is":[8,22,79],"desired":[9],"for":[10,110],"city":[11],"and":[12,51],"planning.":[14],"A":[15,48],"first":[16],"step":[17],"such":[19],"a":[20,33,37,44,64,69,82,86,117],"system":[21],"object":[23],"localization":[24],"users.":[27],"In":[28],"this":[29],"work,":[30],"we":[31],"present":[32],"method":[34,59],"detecting":[36],"specific":[38],"car":[39,87,112,118],"in":[40,60,73,88,93,98,122],"an":[41,129],"intersection":[42],"from":[43],"monocular":[45],"camera":[46,49],"image.":[47],"calibration":[50],"segmentation":[52],"are":[53],"utilized":[54],"as":[55],"inputs":[56],"by":[57],"the":[58,74,99,126],"order":[61,89],"to":[62,90],"detect":[63],"car.":[65],"Using":[66],"these":[67],"inputs,":[68],"sampled":[70],"search":[71],"space":[72],"ground":[75,100,108],"plane,":[76],"including":[77],"rotations,":[78],"explored":[80],"with":[81,107,128],"3D":[83],"model":[84],"produce":[91],"output":[92],"form":[94],"rectangle":[96],"detections":[97],"plane.":[101],"Evaluation":[102],"on":[103],"real":[104],"recorded":[105],"data,":[106],"truth":[109],"one":[111],"using":[113],"GPS,":[114],"indicates":[115],"that":[116],"can":[119],"be":[120],"detected":[121],"over":[123],"90%":[124],"time":[127],"average":[130],"error":[131],"around":[132],"0.5m.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
