{"id":"https://openalex.org/W4416748967","doi":"https://doi.org/10.1109/iros60139.2025.11247426","title":"MambaMap: Online Vectorized HD Map Construction using State Space Model","display_name":"MambaMap: Online Vectorized HD Map Construction using State Space Model","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416748967","doi":"https://doi.org/10.1109/iros60139.2025.11247426"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11247426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247426","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":"https://openalex.org/A5113398174","display_name":"Ruizi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizi Yang","raw_affiliation_strings":["Zhejiang University,College of Software Technology,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Software Technology,Hangzhou,China,310027","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742613","display_name":"Xiaolu Liu","orcid":"https://orcid.org/0000-0002-5244-790X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolu Liu","raw_affiliation_strings":["Zhejiang University,College of Computer Science,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Computer Science,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631548","display_name":"Junbo Chen","orcid":"https://orcid.org/0000-0002-1623-6339"},"institutions":[{"id":"https://openalex.org/I4210126152","display_name":"Ospedale Santa Maria della Misericordia di Udine","ror":"https://ror.org/02zpc2253","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210126152"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Junbo Chen","raw_affiliation_strings":["Udeer.ai,Hangzhou,China,310000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Udeer.ai,Hangzhou,China,310000","institution_ids":["https://openalex.org/I4210126152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108119533","display_name":"Jianke Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianke Zhu","raw_affiliation_strings":["Zhejiang University,College of Computer Science,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Computer Science,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12480","last_page":"12487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.38359999656677246,"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":0.38359999656677246,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.12280000001192093,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.10610000044107437,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/robustness","display_name":"Robustness (evolution)","score":0.6780999898910522},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5947999954223633},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.46129998564720154},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4578999876976013},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.42730000615119934},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4047999978065491},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.40059998631477356},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.37720000743865967},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3718999922275543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.814300000667572},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6780999898910522},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5947999954223633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49729999899864197},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4578999876976013},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4171999990940094},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.40059998631477356},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.37720000743865967},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3553999960422516},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3314000070095062},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2939000129699707},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11247426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247426","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":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2296228853","https://openalex.org/W2565639579","https://openalex.org/W2909908358","https://openalex.org/W3034722190","https://openalex.org/W3035574168","https://openalex.org/W3096609285","https://openalex.org/W3179351458","https://openalex.org/W4312312588","https://openalex.org/W4312894406","https://openalex.org/W4385245566","https://openalex.org/W4386071987","https://openalex.org/W4386072002","https://openalex.org/W4390871799","https://openalex.org/W4394625866","https://openalex.org/W4402727420","https://openalex.org/W4402772632","https://openalex.org/W4403081400","https://openalex.org/W4403160743","https://openalex.org/W4403842425","https://openalex.org/W4404002391","https://openalex.org/W4405079118","https://openalex.org/W4405219754","https://openalex.org/W4409262558","https://openalex.org/W4413155719"],"related_works":[],"abstract_inverted_index":{"High-definition":[0],"(HD)":[1],"maps":[2],"are":[3],"essential":[4],"for":[5,14],"autonomous":[6],"driving,":[7],"as":[8],"they":[9],"provide":[10],"precise":[11],"road":[12],"information":[13,43,89],"downstream":[15],"tasks.":[16],"Recent":[17],"advances":[18],"highlight":[19],"the":[20,70,114,151,165],"potential":[21],"of":[22,120,154],"temporal":[23,42,67,160],"modeling":[24],"in":[25,49,69,113,123],"addressing":[26],"challenges":[27],"like":[28],"occlusions":[29],"and":[30,87,97,105,133,144,167,182],"extended":[31,51],"perception":[32,183],"range.":[33],"However,":[34],"existing":[35],"methods":[36,178],"either":[37],"fail":[38],"to":[39,73,85,100,137],"fully":[40],"exploit":[41],"or":[44],"incur":[45],"substantial":[46],"computational":[47,125],"overhead":[48],"handling":[50],"sequences.":[52],"To":[53],"tackle":[54],"these":[55],"challenges,":[56],"we":[57,108,129],"propose":[58],"MambaMap,":[59],"a":[60,82,110],"novel":[61],"framework":[62],"that":[63,171],"efficiently":[64],"fuses":[65],"long-range":[66],"features":[68,96],"state":[71,115],"space":[72],"construct":[74],"online":[75],"vectorized":[76],"HD":[77],"maps.":[78],"Specifically,":[79],"MambaMap":[80,174],"incorporates":[81],"memory":[83],"bank":[84],"store":[86],"utilize":[88],"from":[90],"historical":[91],"frames,":[92],"dynamically":[93],"updating":[94],"BEV":[95,143],"instance":[98,145],"queries":[99],"improve":[101],"robustness":[102],"against":[103],"noise":[104],"occlusions.":[106],"Moreover,":[107],"introduce":[109],"gating":[111],"mechanism":[112],"space,":[116],"selectively":[117],"integrating":[118],"dependencies":[119],"map":[121],"elements":[122],"high":[124],"efficiency.":[126],"In":[127],"addition,":[128],"design":[130],"innovative":[131],"multi-directional":[132],"spatial-temporal":[134],"scanning":[135],"strategies":[136,148],"enhance":[138],"feature":[139],"extraction":[140],"at":[141,190],"both":[142],"levels.":[146],"These":[147],"significantly":[149],"boost":[150],"prediction":[152],"accuracy":[153],"our":[155,172],"approach":[156,175],"while":[157],"ensuring":[158],"robust":[159],"consistency.":[161],"Extensive":[162],"experiments":[163],"on":[164],"nuScenes":[166],"Argoverse2":[168],"datasets":[169],"demonstrate":[170],"proposed":[173],"outperforms":[176],"state-of-the-art":[177],"across":[179],"various":[180],"splits":[181],"ranges.":[184],"Source":[185],"code":[186],"will":[187],"be":[188],"available":[189],"https://github.com/ZiziAmy/MambaMap.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-28T00:00:00"}
