{"id":"https://openalex.org/W4385312438","doi":"https://doi.org/10.1109/iv55152.2023.10186783","title":"Low-Complexity Deep HDR Fusion And Tone Mapping for Urban Traffic Scenes","display_name":"Low-Complexity Deep HDR Fusion And Tone Mapping for Urban Traffic Scenes","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385312438","doi":"https://doi.org/10.1109/iv55152.2023.10186783"},"language":"en","primary_location":{"id":"doi:10.1109/iv55152.2023.10186783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/01GWVMTBQKT9YMV1RGX5ZB668A/file/01GWVRKBCH855F3C8WQFWBTRQT.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000959943","display_name":"Ivana Shopovska","orcid":"https://orcid.org/0000-0002-8487-9598"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ivana Shopovska","raw_affiliation_strings":["Ghent University - Imec,TELIN-IPI,Ghent,Belgium","TELIN-IPI, Ghent University - Imec, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University - Imec,TELIN-IPI,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"TELIN-IPI, Ghent University - Imec, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040156949","display_name":"Jan Aelterman","orcid":"https://orcid.org/0000-0002-5543-2631"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jan Aelterman","raw_affiliation_strings":["Ghent University - Imec,TELIN-IPI,Ghent,Belgium","TELIN-IPI, Ghent University - Imec, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University - Imec,TELIN-IPI,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"TELIN-IPI, Ghent University - Imec, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063442720","display_name":"David Van Hamme","orcid":"https://orcid.org/0000-0003-2112-3475"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"David Van Hamme","raw_affiliation_strings":["Ghent University - Imec,TELIN-IPI,Ghent,Belgium","TELIN-IPI, Ghent University - Imec, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University - Imec,TELIN-IPI,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"TELIN-IPI, Ghent University - Imec, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071483672","display_name":"Wilfried Philips","orcid":"https://orcid.org/0000-0003-4456-4353"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wilfried Philips","raw_affiliation_strings":["Ghent University - Imec,TELIN-IPI,Ghent,Belgium","TELIN-IPI, Ghent University - Imec, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University - Imec,TELIN-IPI,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"TELIN-IPI, Ghent University - Imec, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/ghosting","display_name":"Ghosting","score":0.8441563844680786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.823682427406311},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7415109872817993},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6581557393074036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5962196588516235},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5761775374412537},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5268969535827637},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47063586115837097},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4681558609008789},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.43404635787010193},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.42278435826301575},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37435102462768555},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.33013176918029785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17688173055648804},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0947800874710083}],"concepts":[{"id":"https://openalex.org/C2780531524","wikidata":"https://www.wikidata.org/wiki/Q551540","display_name":"Ghosting","level":2,"score":0.8441563844680786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.823682427406311},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7415109872817993},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6581557393074036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5962196588516235},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5761775374412537},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5268969535827637},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47063586115837097},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4681558609008789},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.43404635787010193},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.42278435826301575},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37435102462768555},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.33013176918029785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17688173055648804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0947800874710083},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv55152.2023.10186783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:01GWVMTBQKT9YMV1RGX5ZB668A","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01GWVMTBQKT9YMV1RGX5ZB668A","pdf_url":"https://biblio.ugent.be/publication/01GWVMTBQKT9YMV1RGX5ZB668A/file/01GWVRKBCH855F3C8WQFWBTRQT.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISBN: 9798350346916","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:01GWVMTBQKT9YMV1RGX5ZB668A","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01GWVMTBQKT9YMV1RGX5ZB668A","pdf_url":"https://biblio.ugent.be/publication/01GWVMTBQKT9YMV1RGX5ZB668A/file/01GWVRKBCH855F3C8WQFWBTRQT.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISBN: 9798350346916","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385312438.pdf","grobid_xml":"https://content.openalex.org/works/W4385312438.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1976478698","https://openalex.org/W2088533481","https://openalex.org/W2102584639","https://openalex.org/W2133665775","https://openalex.org/W2240434622","https://openalex.org/W2295628903","https://openalex.org/W2736611505","https://openalex.org/W2776574544","https://openalex.org/W2783573276","https://openalex.org/W2889652284","https://openalex.org/W2948618171","https://openalex.org/W2963530785","https://openalex.org/W2970204553","https://openalex.org/W3006487162","https://openalex.org/W3011706535","https://openalex.org/W3036994956","https://openalex.org/W3040184427","https://openalex.org/W3083111419","https://openalex.org/W3096041260","https://openalex.org/W3108109496","https://openalex.org/W3137432642","https://openalex.org/W3138218344","https://openalex.org/W3142504410","https://openalex.org/W3165492316","https://openalex.org/W3184597591","https://openalex.org/W3204903999","https://openalex.org/W3207640280","https://openalex.org/W3209104673","https://openalex.org/W4210888109","https://openalex.org/W4226307350","https://openalex.org/W4285513928","https://openalex.org/W4292793853","https://openalex.org/W4292829033","https://openalex.org/W4293584584","https://openalex.org/W6750227808","https://openalex.org/W6921156832"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2410869481","https://openalex.org/W2028994033","https://openalex.org/W2162796060","https://openalex.org/W1939253538","https://openalex.org/W4243134350","https://openalex.org/W2063779402","https://openalex.org/W2065738242","https://openalex.org/W2008321379"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,101],"propose":[4],"a":[5,36,46,129],"computationally":[6],"efficient":[7,81],"neural":[8],"network":[9,71,85,104],"for":[10,18,83,121],"high":[11],"dynamic":[12,48],"range":[13],"fusion":[14],"and":[15,59,109],"tone":[16],"mapping,":[17],"application":[19],"in":[20,42,45,140,151],"perception":[21],"systems":[22],"of":[23,148],"autonomous":[24],"vehicles.":[25],"The":[26,124],"proposed":[27],"approach":[28],"fuses":[29],"two":[30],"consecutive,":[31],"differently":[32],"exposed":[33],"images":[34],"into":[35],"single":[37],"output":[38],"with":[39],"good":[40],"exposure":[41],"all":[43],"regions,":[44],"standard":[47],"range.":[49],"Motion":[50],"is":[51,79],"compensated":[52],"based":[53,113],"on":[54,105,114],"fast":[55],"optical":[56],"flow":[57],"estimation,":[58],"subsequently":[60],"by":[61],"including":[62],"an":[63,67,80],"error":[64],"mask":[65],"as":[66],"input":[68],"to":[69,72,86,88,128,145],"the":[70,74,84,90,98,103,111,146],"indicate":[73],"remaining":[75],"artifact-prone":[76],"regions.":[77],"This":[78],"way":[82],"learn":[87],"reduce":[89],"ghosting":[91],"artifacts":[92],"without":[93],"increasing":[94],"computational":[95],"complexity.":[96],"Unlike":[97],"conventional":[99],"approach,":[100],"train":[102],"versatile":[106],"traffic":[107,153],"data,":[108],"evaluate":[110],"performance":[112,125,139],"object":[115],"detection":[116],"quality":[117],"metrics,":[118],"rather":[119],"than":[120],"visual":[122],"quality.":[123],"was":[126],"compared":[127],"similarly":[130],"complex":[131],"representative":[132],"method":[133,150],"from":[134],"literature.":[135],"We":[136],"achieved":[137],"improved":[138],"challenging":[141],"light":[142],"conditions":[143],"due":[144],"robustness":[147],"our":[149],"variable":[152],"conditions.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}