{"id":"https://openalex.org/W4403791759","doi":"https://doi.org/10.1145/3664647.3680761","title":"<i>LanEvil</i> : Benchmarking the Robustness of Lane Detection to Environmental Illusions","display_name":"<i>LanEvil</i> : Benchmarking the Robustness of Lane Detection to Environmental Illusions","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791759","doi":"https://doi.org/10.1145/3664647.3680761"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680761","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680761","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3680761?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3680761?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023476317","display_name":"Tianyuan Zhang","orcid":"https://orcid.org/0000-0001-9874-6828"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyuan Zhang","raw_affiliation_strings":["SKLCCSE, Beihang University, China &amp; Shen Yuan Honors College, Beihang University, China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9874-6828","affiliations":[{"raw_affiliation_string":"SKLCCSE, Beihang University, China &amp; Shen Yuan Honors College, Beihang University, China, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103793734","display_name":"Lu Wang","orcid":"https://orcid.org/0009-0004-1733-4178"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["SKLCCSE, Beihang University, China, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-1733-4178","affiliations":[{"raw_affiliation_string":"SKLCCSE, Beihang University, China, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109719851","display_name":"Hainan Li","orcid":"https://orcid.org/0009-0002-6638-8282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hainan Li","raw_affiliation_strings":["Institute of Dataspace, China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0002-6638-8282","affiliations":[{"raw_affiliation_string":"Institute of Dataspace, China, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076884053","display_name":"Yisong Xiao","orcid":"https://orcid.org/0000-0001-8227-0052"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisong Xiao","raw_affiliation_strings":["SKLCCSE, Beihang University, China &amp; Shen Yuan Honors College, Beihang University, China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8227-0052","affiliations":[{"raw_affiliation_string":"SKLCCSE, Beihang University, China &amp; Shen Yuan Honors College, Beihang University, China, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081392445","display_name":"Siyuan Liang","orcid":"https://orcid.org/0000-0002-6154-0233"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Siyuan Liang","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-6154-0233","affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014870180","display_name":"Aishan Liu","orcid":"https://orcid.org/0000-0002-4224-1318"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aishan Liu","raw_affiliation_strings":["SKLCCSE, Beihang University, China &amp; Institute of Dataspace, China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4224-1318","affiliations":[{"raw_affiliation_string":"SKLCCSE, Beihang University, China &amp; Institute of Dataspace, China, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024067284","display_name":"Xianglong Liu","orcid":"https://orcid.org/0000-0001-8425-4195"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Liu","raw_affiliation_strings":["SKLCCSE, Beihang University, China &amp; Zhongguancun Laboratory, China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8425-4195","affiliations":[{"raw_affiliation_string":"SKLCCSE, Beihang University, China &amp; Zhongguancun Laboratory, China, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["College of Computing &amp; Data Science, Nanyang Technological University, Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"College of Computing &amp; Data Science, Nanyang Technological University, Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5233,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97355608,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5403","last_page":"5412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9757999777793884,"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/benchmarking","display_name":"Benchmarking","score":0.8548208475112915},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7946949005126953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6213676929473877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4146157503128052},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09349742531776428},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.05262339115142822}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8548208475112915},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7946949005126953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6213676929473877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4146157503128052},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09349742531776428},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.05262339115142822},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680761","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680761","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3680761?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3664647.3680761","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3680761","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3680761?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4300000071525574,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G489730147","display_name":null,"funder_award_id":"62206009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320327472","display_name":"Chinese Aeronautical Establishment","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403791759.pdf","grobid_xml":"https://content.openalex.org/works/W4403791759.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2159132531","https://openalex.org/W2295107390","https://openalex.org/W2487365028","https://openalex.org/W2913960518","https://openalex.org/W2964047820","https://openalex.org/W2991526369","https://openalex.org/W2998590856","https://openalex.org/W3034879391","https://openalex.org/W3034985293","https://openalex.org/W3090843930","https://openalex.org/W3091249416","https://openalex.org/W3107530881","https://openalex.org/W3109790059","https://openalex.org/W3113162324","https://openalex.org/W3127647470","https://openalex.org/W3173721678","https://openalex.org/W3176659256","https://openalex.org/W3177280989","https://openalex.org/W3203076355","https://openalex.org/W3214301338","https://openalex.org/W4245852543","https://openalex.org/W4282921501","https://openalex.org/W4312807693","https://openalex.org/W4312839759","https://openalex.org/W4312959179","https://openalex.org/W4386076667","https://openalex.org/W4387967916","https://openalex.org/W4390873140","https://openalex.org/W4402916840"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699"],"abstract_inverted_index":{"Lane":[0],"detection":[1],"(LD)":[2],"is":[3],"an":[4],"essential":[5],"component":[6],"of":[7,34,93,107,118,158,189,254],"autonomous":[8],"driving":[9],"systems,":[10],"providing":[11],"fundamental":[12],"functionalities":[13],"like":[14],"adaptive":[15],"cruise":[16],"control":[17],"and":[18,43,82,133,170,194,209,257],"automated":[19],"lane":[20],"centering.":[21],"Existing":[22],"LD":[23,35,81,94,123,160],"benchmarks":[24],"primarily":[25],"focus":[26],"on":[27,46,126,173],"evaluating":[28,90],"common":[29],"cases,":[30],"neglecting":[31],"the":[32,47,66,72,84,91,138,156,179,187,220,251,263],"robustness":[33,92,157,232],"models":[36],"against":[37,95,215],"environmental":[38,78,108,202,216],"illusions":[39,58,79,109,203],"such":[40],"as":[41],"shadows":[42],"tire":[44],"marks":[45],"road.":[48],"This":[49],"research":[50],"gap":[51],"poses":[52],"significant":[53,231],"safety":[54],"challenges":[55],"since":[56],"these":[57,77],"exist":[59],"naturally":[60],"in":[61,122,144,250],"real-world":[62,119,127],"traffic":[63,211],"situations.":[64],"For":[65],"first":[67,85],"time,":[68],"this":[69,96],"paper":[70,241],"studies":[71],"potential":[73,210],"threats":[74],"caused":[75],"by":[76],"to":[80,206,244],"establishes":[83],"comprehensive":[86],"benchmark":[87,155],"LanEvil":[88],"for":[89],"natural":[97],"corruption.":[98],"We":[99,238],"systematically":[100],"design":[101],"14":[102],"prevalent":[103],"yet":[104],"critical":[105],"types":[106],"(e.g.,":[110],"shadow,":[111],"reflection)":[112],"that":[113,200],"cover":[114],"a":[115,145],"wide":[116],"spectrum":[117],"influencing":[120],"factors":[121],"tasks.":[124],"Based":[125],"environments,":[128],"we":[129,154,185,218],"create":[130],"94":[131],"realistic":[132],"customizable":[134],"3D":[135],"cases":[136],"using":[137,162,226],"widely":[139],"used":[140],"CARLA":[141],"simulator,":[142],"resulting":[143],"dataset":[146,256],"comprising":[147],"90,292":[148],"sampled":[149],"images.":[150],"Through":[151],"extensive":[152],"experiments,":[153],"popular":[159],"methods":[161],"LanEvil,":[163],"revealing":[164],"substantial":[165],"performance":[166,188],"degradation":[167],"(-5.37%":[168],"Accuracy":[169],"-10.70%":[171],"F1-Score":[172],"average),":[174],"with":[175],"shadow":[176],"effects":[177],"posing":[178],"greatest":[180],"risk":[181],"(-7.39%":[182],"Accuracy).":[183],"Additionally,":[184],"assess":[186],"commercial":[190],"auto-driving":[191,248],"systems":[192,249],"OpenPilot":[193],"Apollo":[195],"through":[196],"collaborative":[197],"simulations,":[198],"demonstrating":[199],"proposed":[201],"can":[204,242,259],"lead":[205],"incorrect":[207],"decisions":[208],"accidents.":[212],"To":[213],"defend":[214],"illusions,":[217],"propose":[219],"Attention":[221],"Area":[222],"Mixing":[223],"(AAM)":[224],"approach":[225],"hard":[227],"examples,":[228],"which":[229],"witness":[230],"improvement":[233],"(+3.76%)":[234],"under":[235],"illumination":[236],"effects.":[237],"hope":[239],"our":[240,255],"contribute":[243],"advancing":[245],"more":[246],"robust":[247],"future.":[252],"Part":[253],"demos":[258],"be":[260],"found":[261],"at":[262],"https://lanevil.github.io/.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
