{"id":"https://openalex.org/W4416748665","doi":"https://doi.org/10.1109/iros60139.2025.11246117","title":"LaneMind: Seeing Lanes Like Human Drivers","display_name":"LaneMind: Seeing Lanes Like Human Drivers","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416748665","doi":"https://doi.org/10.1109/iros60139.2025.11246117"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Zhengyan Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyan Qian","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101969554","display_name":"Qian Ma","orcid":"https://orcid.org/0000-0002-7667-332X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Ma","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4363","last_page":"4370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9531000256538391,"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":0.9531000256538391,"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":0.033399999141693115,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.003700000001117587,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.5741999745368958},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5534999966621399},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4690000116825104},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.454800009727478},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4478999972343445},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4277999997138977},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3513999879360199}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6133999824523926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6049000024795532},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5534999966621399},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5519000291824341},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.32269999384880066},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C40319758","wikidata":"https://www.wikidata.org/wiki/Q5535477","display_name":"Geometric design","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2092200806","https://openalex.org/W2913960518","https://openalex.org/W2971079005","https://openalex.org/W2981441441","https://openalex.org/W3108280663","https://openalex.org/W3109790059","https://openalex.org/W3119586106","https://openalex.org/W3157173860","https://openalex.org/W3173771298","https://openalex.org/W3175091786","https://openalex.org/W3176566042","https://openalex.org/W3185284183","https://openalex.org/W3192684372","https://openalex.org/W3203848864","https://openalex.org/W4221143432","https://openalex.org/W4236868170","https://openalex.org/W4283796844","https://openalex.org/W4296551182","https://openalex.org/W4312349930","https://openalex.org/W4312770781","https://openalex.org/W4312807693","https://openalex.org/W4312839759","https://openalex.org/W4390871906","https://openalex.org/W4393149919","https://openalex.org/W4394597770","https://openalex.org/W4402727920","https://openalex.org/W4402754177","https://openalex.org/W4409225564"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"lane":[1,105,131],"detection":[2,13,143],"is":[3],"critical":[4],"for":[5,43,148],"autonomous":[6,150],"driving":[7,151],"safety.":[8],"In":[9],"recent":[10],"years,":[11],"anchor-based":[12],"methods":[14,35],"have":[15],"made":[16],"significant":[17],"progress.":[18],"However,":[19],"existing":[20],"frameworks":[21],"struggle":[22],"in":[23,46,128],"complex":[24],"scenarios":[25,132],"such":[26],"as":[27],"nighttime":[28],"or":[29],"dazzle":[30],"light":[31],"environments.":[32],"Additionally,":[33],"these":[34,51],"exhibit":[36],"limited":[37],"geometric":[38,67],"modeling":[39],"and":[40,84,133,141],"extrapolation":[41],"capabilities":[42],"curvature":[44],"variations":[45],"curved":[47,130],"lanes.":[48],"To":[49],"tackle":[50],"challenges,":[52],"we":[53],"propose":[54],"LaneMind,":[55],"an":[56],"innovative":[57],"framework":[58],"that":[59,99,118],"combines":[60],"human":[61],"visual":[62],"perception":[63],"principles":[64],"with":[65,75],"advanced":[66],"modeling.":[68,87],"Our":[69],"approach":[70],"features":[71],"a":[72,95],"dual-path":[73],"architecture":[74],"cross-path":[76],"attention":[77],"mechanism,":[78],"enabling":[79],"simultaneous":[80],"local":[81],"feature":[82],"extraction":[83],"global":[85],"structure":[86],"The":[88,137],"network":[89],"outputs":[90],"confidence":[91],"heatmap,":[92],"followed":[93],"by":[94],"skeleton-guided":[96],"regression":[97],"module":[98],"extracts":[100],"medial-axis":[101],"skeletons":[102],"from":[103],"high-probability":[104],"regions":[106],"to":[107],"precisely":[108],"localize":[109],"lanes":[110],"while":[111],"maintaining":[112],"topological":[113],"continuity.":[114],"Experimental":[115],"results":[116],"demonstrate":[117],"LaneMind":[119],"achieves":[120],"competitive":[121],"performance":[122,140],"across":[123],"various":[124],"benchmarks,":[125],"particularly":[126],"excelling":[127],"challenging":[129],"adverse":[134],"lighting":[135],"conditions.":[136],"framework\u2019s":[138],"robust":[139],"accurate":[142],"quality":[144],"highlight":[145],"its":[146],"potential":[147],"real-world":[149],"applications.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-28T00:00:00"}
