{"id":"https://openalex.org/W2808617845","doi":"https://doi.org/10.1109/ivs.2018.8500664","title":"On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding","display_name":"On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2808617845","doi":"https://doi.org/10.1109/ivs.2018.8500664","mag":"2808617845"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2018.8500664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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://durham-repository.worktribe.com/output/1145471","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007578694","display_name":"Naif Alshammari","orcid":"https://orcid.org/0000-0001-5100-267X"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Naif Alshammari","raw_affiliation_strings":["Department of Computer Science, Durham University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038518813","display_name":"Samet Ak\u00e7ay","orcid":"https://orcid.org/0000-0003-3334-7118"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Samet Akcay","raw_affiliation_strings":["Department of Computer Science, Durham University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045115593","display_name":"Toby P. Breckon","orcid":"https://orcid.org/0000-0003-1666-7590"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Toby P. Breckon","raw_affiliation_strings":["Department of Computer Science, Durham University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, UK","institution_ids":["https://openalex.org/I190082696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I190082696"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1027","last_page":"1032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9975000023841858,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9970999956130981,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7397080659866333},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6939661502838135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6754084229469299},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6548949480056763},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.636430561542511},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5914570689201355},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5572959780693054},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.48328378796577454},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.41592830419540405},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41305792331695557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3473172187805176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18435397744178772},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08949863910675049}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7397080659866333},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6939661502838135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754084229469299},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6548949480056763},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.636430561542511},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5914570689201355},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5572959780693054},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.48328378796577454},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.41592830419540405},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41305792331695557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3473172187805176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18435397744178772},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08949863910675049},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ivs.2018.8500664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.dur.ac.uk.OAI2:24761","is_oa":false,"landing_page_url":"http://dro.dur.ac.uk/24761/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"The 29th IEEE Intelligent Vehicles Symposium (IEEE IV 2018), Changshu, China, 26-29 June 2018 [Conference proceedings]","raw_type":"Conference item"},{"id":"pmh:oai:dro.dur.ac.uk.OAI2:25277","is_oa":false,"landing_page_url":"http://dro.dur.ac.uk/25277/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"(2018). 2018 IEEE Intelligent Vehicles Symposium (IV) : 26-30 June 2018, Changshu, Suzhou, China ; proceedings. Piscataway: IEEE, pp. 1027-1032","raw_type":"Book chapter"},{"id":"pmh:oai:durham-repository.worktribe.com:1145471","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1145471","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"},{"id":"pmh:oai:durham-repository.worktribe.com:1145679","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1145679","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:durham-repository.worktribe.com:1145471","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1145471","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1686810756","https://openalex.org/W1809620427","https://openalex.org/W1998270967","https://openalex.org/W2023911058","https://openalex.org/W2037333893","https://openalex.org/W2038390631","https://openalex.org/W2052197411","https://openalex.org/W2077548186","https://openalex.org/W2100115174","https://openalex.org/W2102605133","https://openalex.org/W2109815793","https://openalex.org/W2117539524","https://openalex.org/W2149550213","https://openalex.org/W2150066425","https://openalex.org/W2163605009","https://openalex.org/W2166502676","https://openalex.org/W2168519618","https://openalex.org/W2169805405","https://openalex.org/W2171943915","https://openalex.org/W2612189779","https://openalex.org/W2962835968","https://openalex.org/W2963881378","https://openalex.org/W4256486341","https://openalex.org/W6637373629","https://openalex.org/W6638527482","https://openalex.org/W6681979930","https://openalex.org/W6684191040","https://openalex.org/W6737237030"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W4388311650","https://openalex.org/W2351672553","https://openalex.org/W5922282","https://openalex.org/W2373392303","https://openalex.org/W1974056099","https://openalex.org/W2765894405","https://openalex.org/W1884735063"],"abstract_inverted_index":{"Illumination":[0],"changes":[1],"in":[2,69,196],"outdoor":[3],"environments":[4],"under":[5],"non-ideal":[6],"weather":[7],"conditions":[8],"have":[9],"a":[10,77,93,158,177,185,193],"negative":[11],"impact":[12,113],"on":[13,81],"automotive":[14,99,202],"scene":[15,70,100,129,203],"understanding":[16,71,101,130],"and":[17,47,102,131,154],"segmentation":[18,132],"performance.":[19,72],"In":[20,73],"this":[21,33],"paper,":[22],"we":[23,75,118,169,191],"present":[24],"an":[25,83,106],"evaluation":[26],"of":[27,66,92,114,123,187],"illuminationinvariant":[28],"image":[29,44,85],"transforms":[30,40,174],"applied":[31],"to":[32,52,57,96,110,176],"application":[34],"domain.":[35],"We":[36],"compare":[37],"four":[38],"recent":[39],"for":[41,144],"illumination":[42,107,116,200],"invariant":[43,60,108,145],"representation,":[45,86],"individually":[46],"with":[48,88],"colour":[49],"hybrid":[50],"images,":[51],"show":[53,119,192],"that":[54,120,156],"despite":[55],"assumptions":[56],"contrary":[58],"such":[59,150],"pre-processing":[61],"can":[62,133],"improve":[63,97],"the":[64,67,89,112,121,142],"state":[65],"art":[68],"addition,":[74],"propose":[76],"robust":[78],"approach":[79,181],"based":[80,128],"using":[82,105,198],"illumination-invariant":[84],"combined":[87],"chromatic":[90],"component":[91],"perceptual":[94],"colour-space":[95],"contemporary":[98],"segmentation.":[103],"By":[104],"pre-process,":[109],"reduce":[111],"environmental":[115],"changes,":[117],"performance":[122,167,197],"deep":[124,151],"convolutional":[125],"neural":[126],"network":[127,152,160],"yet":[134],"be":[135],"further":[136],"improved.":[137],"This":[138],"illuminating":[139],"result":[140],"enforces":[141],"need":[143],"(unbiased)":[146],"training":[147,153],"sets":[148],"within":[149],"shows":[155],"even":[157],"welltrained":[159],"may":[161],"still":[162],"not":[163],"offer":[164],"truly":[165],"optimal":[166],"(if":[168],"ignore":[170],"any":[171],"prior":[172],"data":[173],"attributable":[175],"priori":[178],"insight).":[179],"Our":[180],"is":[182],"demonstrated":[183],"over":[184],"range":[186],"example":[188],"imagery":[189],"where":[190],"notable":[194],"improvement":[195],"pre-processed,":[199],"invariant,":[201],"imagery.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}