{"id":"https://openalex.org/W2512206245","doi":"https://doi.org/10.1109/ivs.2016.7535542","title":"Probabilistic distance estimation for vehicle tracking application in monocular vision","display_name":"Probabilistic distance estimation for vehicle tracking application in monocular vision","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2512206245","doi":"https://doi.org/10.1109/ivs.2016.7535542","mag":"2512206245"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5090672729","display_name":"Stephanie Lessmann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130520","display_name":"Aptiv (Germany)","ror":"https://ror.org/039sb8791","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210107152","https://openalex.org/I4210130520"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephanie Lessmann","raw_affiliation_strings":["Delphi Electronics & Safety, Advanced Engineering, D-42119 Wuppertal, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delphi Electronics & Safety, Advanced Engineering, D-42119 Wuppertal, Germany","institution_ids":["https://openalex.org/I4210130520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064376962","display_name":"Mirko Meuter","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130520","display_name":"Aptiv (Germany)","ror":"https://ror.org/039sb8791","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210107152","https://openalex.org/I4210130520"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mirko Meuter","raw_affiliation_strings":["Delphi Electronics & Safety, Advanced Engineering, Wuppertal, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delphi Electronics & Safety, Advanced Engineering, Wuppertal, Germany","institution_ids":["https://openalex.org/I4210130520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103960612","display_name":"Dennis M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130520","display_name":"Aptiv (Germany)","ror":"https://ror.org/039sb8791","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210107152","https://openalex.org/I4210130520"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dennis Muller","raw_affiliation_strings":["Delphi Electronics & Safety, Advanced Engineering, Wuppertal, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delphi Electronics & Safety, Advanced Engineering, Wuppertal, Germany","institution_ids":["https://openalex.org/I4210130520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050558405","display_name":"Josef Pauli","orcid":"https://orcid.org/0000-0003-0363-6410"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Josef Pauli","raw_affiliation_strings":["Intelligent Systems Group, University of Duisburg-Essen, Duisburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems Group, University of Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9825,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81050562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1199","last_page":"1204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9951000213623047,"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-vision","display_name":"Computer vision","score":0.7887732982635498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7725465297698975},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.7202674150466919},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6614916324615479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6299678087234497},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6064822673797607},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5965309143066406},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.53171306848526},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5139970183372498},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4294856786727905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23820722103118896}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7887732982635498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7725465297698975},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.7202674150466919},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6614916324615479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299678087234497},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6064822673797607},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5965309143066406},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.53171306848526},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5139970183372498},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4294856786727905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23820722103118896},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2016.7535542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","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":21,"referenced_works":["https://openalex.org/W185427603","https://openalex.org/W1506219486","https://openalex.org/W1521365818","https://openalex.org/W1572967124","https://openalex.org/W2004427741","https://openalex.org/W2047736581","https://openalex.org/W2056878999","https://openalex.org/W2083183663","https://openalex.org/W2105072112","https://openalex.org/W2105934661","https://openalex.org/W2122723498","https://openalex.org/W2126452053","https://openalex.org/W2137097255","https://openalex.org/W2143496191","https://openalex.org/W2144297066","https://openalex.org/W2146352414","https://openalex.org/W2149495871","https://openalex.org/W2163812146","https://openalex.org/W2238582461","https://openalex.org/W4235735836","https://openalex.org/W6607524167"],"related_works":["https://openalex.org/W1586572182","https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321","https://openalex.org/W2011626633","https://openalex.org/W2037866696"],"abstract_inverted_index":{"Measuring":[0],"absolute":[1],"distances":[2],"in":[3],"monocular":[4],"vision":[5],"is":[6],"challenging":[7],"and":[8],"cannot":[9],"be":[10],"solved":[11],"directly.":[12],"Conventionally,":[13],"assumptions":[14],"like":[15],"an":[16],"a":[17],"priori":[18],"width":[19],"of":[20],"the":[21,31],"target":[22],"object":[23],"or":[24],"geometric":[25],"constraints":[26],"are":[27],"made":[28],"to":[29],"overcome":[30],"problem.":[32]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
