{"id":"https://openalex.org/W1982892588","doi":"https://doi.org/10.1109/ivs.2013.6629527","title":"Detecting parallel moving vehicles with monocular omnidirectional side cameras","display_name":"Detecting parallel moving vehicles with monocular omnidirectional side cameras","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1982892588","doi":"https://doi.org/10.1109/ivs.2013.6629527","mag":"1982892588"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5013555222","display_name":"Kai Schueler","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Kai Schueler","raw_affiliation_strings":["Faculty of Electrical Engineering, Lehrstuhl fuer Datenverarbeitung, Technische Universitaet Muenchen, Germany","Fac. of Electr. Eng., Tech. Univ. Muenchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Lehrstuhl fuer Datenverarbeitung, Technische Universitaet Muenchen, Germany","institution_ids":["https://openalex.org/I4210088543"]},{"raw_affiliation_string":"Fac. of Electr. Eng., Tech. Univ. Muenchen, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074010761","display_name":"Marvin Raaijmakers","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marvin Raaijmakers","raw_affiliation_strings":["Aculty of Mathematics and Computer Science, Eindhoven University of Technology, Netherlands","Fac. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Aculty of Mathematics and Computer Science, Eindhoven University of Technology, Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Fac. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013341480","display_name":"Stephan Neumaier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134364","display_name":"German Insurance Association","ror":"https://ror.org/045xvrw74","country_code":"DE","type":"other","lineage":["https://openalex.org/I4210134364"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Neumaier","raw_affiliation_strings":["Advanced Driver Assistance Development Group, EFS GmbH, Germany","Adv. Driver Assistance Dev. Group, EFS GmbH, Germany"],"affiliations":[{"raw_affiliation_string":"Advanced Driver Assistance Development Group, EFS GmbH, Germany","institution_ids":[]},{"raw_affiliation_string":"Adv. Driver Assistance Dev. Group, EFS GmbH, Germany","institution_ids":["https://openalex.org/I4210134364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071399115","display_name":"Ulrich Hofmann","orcid":"https://orcid.org/0000-0002-6264-3701"},"institutions":[{"id":"https://openalex.org/I1322300227","display_name":"Audi (Germany)","ror":"https://ror.org/02aykj333","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322300227"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulrich Hofmann","raw_affiliation_strings":["Driver Assistance Development Group, AUDI AG, Germany","Adv. Driver Assistance Dev. Group, AUDI AG, Ingolstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Driver Assistance Development Group, AUDI AG, Germany","institution_ids":["https://openalex.org/I1322300227"]},{"raw_affiliation_string":"Adv. Driver Assistance Dev. Group, AUDI AG, Ingolstadt, Germany","institution_ids":["https://openalex.org/I1322300227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013555222"],"corresponding_institution_ids":["https://openalex.org/I4210088543"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.56991313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"567","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.998199999332428,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9969000220298767,"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":0.834956169128418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8119993209838867},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.784456729888916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.678705096244812},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.6432574987411499},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5372251272201538},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.4334034025669098},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4315011501312256},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.42790278792381287},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42685556411743164},{"id":"https://openalex.org/keywords/omnidirectional-camera","display_name":"Omnidirectional camera","score":0.4155391454696655},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19246786832809448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17132002115249634},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.08608517050743103}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.834956169128418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8119993209838867},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.784456729888916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678705096244812},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.6432574987411499},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5372251272201538},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.4334034025669098},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4315011501312256},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.42790278792381287},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42685556411743164},{"id":"https://openalex.org/C2777953668","wikidata":"https://www.wikidata.org/wiki/Q684116","display_name":"Omnidirectional camera","level":4,"score":0.4155391454696655},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19246786832809448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17132002115249634},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.08608517050743103},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2013.6629527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1488640516","https://openalex.org/W1532362218","https://openalex.org/W1549664882","https://openalex.org/W1690959182","https://openalex.org/W1880706632","https://openalex.org/W2033819227","https://openalex.org/W2118877769","https://openalex.org/W2120350085","https://openalex.org/W2124614491","https://openalex.org/W2130213433","https://openalex.org/W2130312272","https://openalex.org/W2142405531","https://openalex.org/W2143425822","https://openalex.org/W2158928052","https://openalex.org/W3145547920","https://openalex.org/W4251391716","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2898919627","https://openalex.org/W4379536980","https://openalex.org/W2666300258","https://openalex.org/W1989062809","https://openalex.org/W2118689766","https://openalex.org/W2625795345","https://openalex.org/W2215517927","https://openalex.org/W2137384304","https://openalex.org/W114721022","https://openalex.org/W1966688224"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,49,117],"strategy":[6],"for":[7,83],"the":[8,24,27],"detection":[9],"and":[10,77,105],"tracking":[11],"of":[12,23,29,93,110],"dynamic":[13,72],"objects":[14],"exploiting":[15],"monocular":[16],"omnidirectional":[17,39,87],"side":[18,40,60],"cameras.":[19],"The":[20,97],"main":[21],"novelty":[22],"approach":[25],"is":[26,89],"use":[28],"solely":[30],"motion":[31,95],"based":[32,101],"(optical":[33],"flow)":[34],"extracted":[35,58,65],"image":[36],"features":[37,56,66,98],"from":[38,59,116],"cameras":[41,88],"to":[42,71],"continuously":[43],"track":[44],"parallel":[45],"moving":[46],"vehicles":[47],"using":[48],"novel":[50],"clustering":[51],"algorithm.":[52],"Firstly,":[53],"optical":[54,106],"flow":[55,107],"are":[57,67,99,120],"camera":[61],"images.":[62],"Secondly,":[63],"these":[64],"identified":[68],"as":[69],"belonging":[70],"obstacles":[73],"via":[74],"positive-depth,":[75],"positive-height,":[76],"epipolar":[78],"constraint.":[79],"A":[80],"new":[81],"method":[82],"constraint":[84],"evaluation":[85],"on":[86,102],"presented,":[90],"incorporating":[91],"uncertainties":[92],"ego":[94],"measurements.":[96],"clustered":[100],"spatial":[103],"closeness":[104],"similarity.":[108],"Results":[109],"experiments,":[111],"with":[112],"real":[113],"sensor":[114],"data":[115],"test":[118],"vehicle,":[119],"presented.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
