{"id":"https://openalex.org/W4285046977","doi":"https://doi.org/10.1109/ivmsp54334.2022.9816237","title":"Real-time road detection implementation of UNet architecture for autonomous driving","display_name":"Real-time road detection implementation of UNet architecture for autonomous driving","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4285046977","doi":"https://doi.org/10.1109/ivmsp54334.2022.9816237"},"language":"en","primary_location":{"id":"doi:10.1109/ivmsp54334.2022.9816237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmsp54334.2022.9816237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04008516","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039735264","display_name":"D\u0103nu\u0163-Vasile Giurgi","orcid":"https://orcid.org/0000-0002-5536-1140"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Danut-Vasile Giurgi","raw_affiliation_strings":["Institut de Recherche en Informatique, Math&#x00E9;matiques, Automatique et Signal (IRIMAS UR 7499), University of Haute Alsace,Mulhouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Recherche en Informatique, Math&#x00E9;matiques, Automatique et Signal (IRIMAS UR 7499), University of Haute Alsace,Mulhouse,France","institution_ids":["https://openalex.org/I2800745255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059416953","display_name":"Thomas Laurain","orcid":"https://orcid.org/0000-0002-8287-2122"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Josso-Laurain","raw_affiliation_strings":["Institut de Recherche en Informatique, Math&#x00E9;matiques, Automatique et Signal (IRIMAS UR 7499), University of Haute Alsace,Mulhouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Recherche en Informatique, Math&#x00E9;matiques, Automatique et Signal (IRIMAS UR 7499), University of Haute Alsace,Mulhouse,France","institution_ids":["https://openalex.org/I2800745255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067446887","display_name":"Maxime Devanne","orcid":"https://orcid.org/0000-0002-1458-3855"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maxime Devanne","raw_affiliation_strings":["Institut de Recherche en Informatique, Math&#x00E9;matiques, Automatique et Signal (IRIMAS UR 7499), University of Haute Alsace,Mulhouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Recherche en Informatique, Math&#x00E9;matiques, Automatique et Signal (IRIMAS UR 7499), University of Haute Alsace,Mulhouse,France","institution_ids":["https://openalex.org/I2800745255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009129425","display_name":"Jean-Philippe Lauffenburger","orcid":"https://orcid.org/0000-0002-5891-8418"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Lauffenburger","raw_affiliation_strings":["Institut de Recherche en Informatique, Math&#x00E9;matiques, Automatique et Signal (IRIMAS UR 7499), University of Haute Alsace,Mulhouse,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut de Recherche en Informatique, Math&#x00E9;matiques, Automatique et Signal (IRIMAS UR 7499), University of Haute Alsace,Mulhouse,France","institution_ids":["https://openalex.org/I2800745255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7057,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67000938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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"}},"topics":[{"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9972000122070312,"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":0.749819278717041},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6726223826408386},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6697005033493042},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6256080865859985},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5345467925071716},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49106836318969727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4889029562473297},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.48625266551971436},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4358830153942108},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4284900426864624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3779641389846802},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16662320494651794}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749819278717041},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6726223826408386},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6697005033493042},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6256080865859985},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5345467925071716},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49106836318969727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4889029562473297},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48625266551971436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4358830153942108},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4284900426864624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3779641389846802},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16662320494651794},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivmsp54334.2022.9816237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmsp54334.2022.9816237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04008516v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04008516","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Jun 2022, Nafplio, Greece. pp.1-5, &#x27E8;10.1109/ivmsp54334.2022.9816237&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04008516v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04008516","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Jun 2022, Nafplio, Greece. pp.1-5, &#x27E8;10.1109/ivmsp54334.2022.9816237&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4347514221","display_name":"Combining Evidential Theory and Deep Learning for autonomous vehicle perception","funder_award_id":"ANR-21-CE22-0004","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2167222293","https://openalex.org/W2343568200","https://openalex.org/W2884355388","https://openalex.org/W2970721291","https://openalex.org/W3108704700","https://openalex.org/W3113399930","https://openalex.org/W3190666950","https://openalex.org/W3191343975","https://openalex.org/W4293406525","https://openalex.org/W4293849695","https://openalex.org/W4295719664","https://openalex.org/W4299978048","https://openalex.org/W6639824700","https://openalex.org/W6745935785","https://openalex.org/W6779802788"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W188202134","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W2010229520"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,20,51,79,90],"real-time":[4,102,123],"implementation":[5],"workflow":[6],"of":[7,41,48,65],"neural":[8],"networks":[9],"for":[10,19,27,68,122],"autonomous":[11],"driving":[12],"tasks.":[13,126],"The":[14,30,63,97],"UNet":[15],"structure":[16],"is":[17,32,71,87,99],"chosen":[18],"road":[21,69,124],"segmentation":[22],"task,":[23],"providing":[24],"good":[25,120],"performance":[26,64,121],"low":[28,117],"complexity.":[29],"model":[31,43,67,86,115],"trained":[33],"and":[34,50,110,119],"validated":[35],"using":[36,73],"two":[37],"datasets,":[38],"KITTI":[39],"(validation":[40],"the":[42,59,66,74,85,94,105,113],"with":[44],"respect":[45],"to":[46],"state":[47],"art)":[49],"local":[52],"highway":[53],"dataset":[54],"(UHA":[55],"dataset),":[56],"collected":[57],"by":[58],"laboratory":[60],"research":[61],"team.":[62],"detection":[70,125],"evaluated":[72],"F1":[75],"score":[76],"metric.":[77],"After":[78],"simulation":[80],"validation":[81],"on":[82],"both":[83],"sets,":[84],"integrated":[88],"into":[89],"real":[91],"vehicle":[92],"through":[93],"RTMaps":[95],"platform.":[96],"application":[98],"tested":[100],"in":[101],"conditions,":[103],"around":[104],"city,":[106],"under":[107],"various":[108],"weather":[109],"light.":[111],"Finally,":[112],"proposed":[114],"proves":[116],"complexity":[118]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
