{"id":"https://openalex.org/W3108198887","doi":"https://doi.org/10.1109/iccp51029.2020.9266232","title":"MONet - Multiple Output Network for Driver Assistance Systems Based on a Monocular Camera","display_name":"MONet - Multiple Output Network for Driver Assistance Systems Based on a Monocular Camera","publication_year":2020,"publication_date":"2020-09-03","ids":{"openalex":"https://openalex.org/W3108198887","doi":"https://doi.org/10.1109/iccp51029.2020.9266232","mag":"3108198887"},"language":"en","primary_location":{"id":"doi:10.1109/iccp51029.2020.9266232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp51029.2020.9266232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5078073621","display_name":"Razvan Itu","orcid":"https://orcid.org/0000-0001-8156-7313"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Razvan Itu","raw_affiliation_strings":["Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014747694","display_name":"Radu D\u0103nescu","orcid":"https://orcid.org/0000-0002-4515-8114"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu Danescu","raw_affiliation_strings":["Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":0.1958,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51706905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"325","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.8215923309326172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8164964318275452},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.733557939529419},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6801941990852356},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6498820185661316},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.613751232624054},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5831727385520935},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5570797324180603},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4468994438648224},{"id":"https://openalex.org/keywords/vanishing-point","display_name":"Vanishing point","score":0.43670088052749634},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43504297733306885},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4315011501312256},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4250814616680145},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4162517488002777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2590017318725586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09115177392959595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215923309326172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8164964318275452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.733557939529419},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6801941990852356},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6498820185661316},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.613751232624054},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5831727385520935},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5570797324180603},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4468994438648224},{"id":"https://openalex.org/C99404194","wikidata":"https://www.wikidata.org/wiki/Q163362","display_name":"Vanishing point","level":3,"score":0.43670088052749634},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43504297733306885},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4315011501312256},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4250814616680145},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4162517488002777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2590017318725586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09115177392959595},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp51029.2020.9266232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp51029.2020.9266232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2560544142","https://openalex.org/W2562137921","https://openalex.org/W2611775752","https://openalex.org/W2769477812","https://openalex.org/W2781228439","https://openalex.org/W2799352588","https://openalex.org/W2910434671","https://openalex.org/W2912836860","https://openalex.org/W2940231876","https://openalex.org/W2963037989","https://openalex.org/W2970281328","https://openalex.org/W2989738721","https://openalex.org/W3007263895","https://openalex.org/W3016478929","https://openalex.org/W3106250896","https://openalex.org/W4293406525","https://openalex.org/W4299978048","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6717372056","https://openalex.org/W6730565506","https://openalex.org/W6750749703","https://openalex.org/W6757033982","https://openalex.org/W6757908397","https://openalex.org/W6761385110","https://openalex.org/W6773512817"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W2050451745","https://openalex.org/W1948643722"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"based":[2],"image":[3],"processing":[4],"has":[5],"become":[6],"popular":[7],"and":[8,65,110,130,152],"approaches":[9],"using":[10,38,162],"convolutional":[11,30],"neural":[12,31,50],"networks":[13],"(CNNs)":[14],"have":[15],"been":[16],"widely":[17],"used":[18,97,135],"in":[19,127],"recent":[20],"years.":[21],"In":[22],"this":[23],"paper":[24],"we":[25],"propose":[26,104],"a":[27,39,105,117,128,141],"multiple":[28,54,123],"output":[29],"network":[32,51,146],"for":[33,140],"road":[34],"traffic":[35,77],"scene":[36],"understanding":[37],"monocular":[40],"camera.":[41],"The":[42,69,122],"color":[43],"images":[44],"are":[45,125],"fed":[46],"into":[47],"the":[48,76,79,87,131,156,163,168],"artificial":[49],"that":[52,94],"produces":[53,72],"outputs.":[55],"Our":[56,145],"model":[57],"performs":[58],"three":[59],"tasks:":[60],"semantic":[61,70],"segmentation,":[62],"object":[63],"detection":[64,81,108,120],"vanishing":[66,88,118,169],"point":[67,89,119,170],"computation.":[68],"segmentation":[71],"relevant":[73],"data":[74],"regarding":[75],"scene,":[78],"obstacle":[80,107],"module":[82,90],"provides":[83],"individual":[84,149],"obstacles,":[85],"whereas":[86],"will":[91],"provide":[92],"information":[93,132],"can":[95,133,147,159],"be":[96,134,160],"to":[98,155],"perform":[99],"extrinsic":[100,164],"camera":[101],"calibration.":[102],"We":[103],"novel":[106],"approach":[109],"extend":[111],"already":[112],"published":[113],"work":[114],"by":[115],"having":[116],"module.":[121,171],"outputs":[124],"predicted":[126],"single-step":[129],"as":[136],"an":[137],"initialization":[138],"step":[139],"3D":[142,157],"tracking":[143],"system.":[144],"extract":[148],"dynamic":[150],"objects":[151],"their":[153],"correlation":[154],"space":[158],"computed":[161],"parameters":[165],"generated":[166],"from":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
