{"id":"https://openalex.org/W3172905592","doi":"https://doi.org/10.1109/ivworkshops54471.2021.9669228","title":"A Survey on Deep Domain Adaptation for LiDAR Perception","display_name":"A Survey on Deep Domain Adaptation for LiDAR Perception","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3172905592","doi":"https://doi.org/10.1109/ivworkshops54471.2021.9669228","mag":"3172905592"},"language":"en","primary_location":{"id":"doi:10.1109/ivworkshops54471.2021.9669228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivworkshops54471.2021.9669228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.02377","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043680511","display_name":"Larissa T. Triess","orcid":"https://orcid.org/0000-0003-0037-8460"},"institutions":[{"id":"https://openalex.org/I4210090154","display_name":"Daimler (United Kingdom)","ror":"https://ror.org/00ac5t267","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090154","https://openalex.org/I891521709"]},{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]},{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE","GB"],"is_corresponding":true,"raw_author_name":"Larissa T. Triess","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","Mercedes-Benz AG, Research and Development, Stuttgart, Germany","Daimler AG#TAB#"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Mercedes-Benz AG, Research and Development, Stuttgart, Germany","institution_ids":["https://openalex.org/I1332474105"]},{"raw_affiliation_string":"Daimler AG#TAB#","institution_ids":["https://openalex.org/I4210090154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090073410","display_name":"Mariella Drei\u00dfig","orcid":"https://orcid.org/0000-0002-8983-7514"},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mariella Dreissig","raw_affiliation_strings":["Mercedes-Benz AG, Research and Development, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz AG, Research and Development, Stuttgart, Germany","institution_ids":["https://openalex.org/I1332474105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019909904","display_name":"Christoph B. Rist","orcid":"https://orcid.org/0000-0003-4578-1616"},"institutions":[{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph B. Rist","raw_affiliation_strings":["Mercedes-Benz AG, Research and Development, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz AG, Research and Development, Stuttgart, Germany","institution_ids":["https://openalex.org/I1332474105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060028048","display_name":"J. Marius Z\u00f6llner","orcid":"https://orcid.org/0000-0001-6190-7202"},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]},{"id":"https://openalex.org/I1332474105","display_name":"Mercedes-Benz (Germany)","ror":"https://ror.org/055rn2a38","country_code":"DE","type":"company","lineage":["https://openalex.org/I1332474105"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Marius Zollner","raw_affiliation_strings":["Mercedes-Benz AG, Research and Development, Stuttgart, Germany","Research Center for Information Technology (FZI), Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Mercedes-Benz AG, Research and Development, Stuttgart, Germany","institution_ids":["https://openalex.org/I1332474105"]},{"raw_affiliation_string":"Research Center for Information Technology (FZI), Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043680511"],"corresponding_institution_ids":["https://openalex.org/I102335020","https://openalex.org/I1332474105","https://openalex.org/I4210090154"],"apc_list":null,"apc_paid":null,"fwci":0.3884,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60297302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/lidar","display_name":"Lidar","score":0.8279595375061035},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.733322024345398},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7160429358482361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7067145109176636},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.7038944363594055},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6905730962753296},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6888548731803894},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5800976753234863},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.41989070177078247},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37783342599868774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3739968538284302},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3616570830345154},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.30664992332458496},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2479228675365448},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0917758047580719}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8279595375061035},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.733322024345398},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7160429358482361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067145109176636},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7038944363594055},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6905730962753296},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6888548731803894},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5800976753234863},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.41989070177078247},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37783342599868774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3739968538284302},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3616570830345154},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.30664992332458496},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2479228675365448},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0917758047580719},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ivworkshops54471.2021.9669228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivworkshops54471.2021.9669228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.02377","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.02377","pdf_url":"https://arxiv.org/pdf/2106.02377","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3172905592","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2106.02377.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2106.02377","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.02377","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.02377","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.02377","pdf_url":"https://arxiv.org/pdf/2106.02377","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307110","display_name":"Delta","ror":"https://ror.org/03g9c1e75"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":109,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2125389028","https://openalex.org/W2150066425","https://openalex.org/W2165698076","https://openalex.org/W2502312327","https://openalex.org/W2560609797","https://openalex.org/W2565662353","https://openalex.org/W2779610669","https://openalex.org/W2788158258","https://openalex.org/W2796347433","https://openalex.org/W2798593490","https://openalex.org/W2912280829","https://openalex.org/W2922800869","https://openalex.org/W2946647719","https://openalex.org/W2948107928","https://openalex.org/W2949813473","https://openalex.org/W2953554625","https://openalex.org/W2962771259","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962839335","https://openalex.org/W2962867954","https://openalex.org/W2962928871","https://openalex.org/W2962964479","https://openalex.org/W2963046274","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963113185","https://openalex.org/W2963120918","https://openalex.org/W2963727135","https://openalex.org/W2963767194","https://openalex.org/W2964159141","https://openalex.org/W2964257316","https://openalex.org/W2964341837","https://openalex.org/W2968296999","https://openalex.org/W2968557240","https://openalex.org/W2970185010","https://openalex.org/W2970623619","https://openalex.org/W2977461652","https://openalex.org/W2979750740","https://openalex.org/W2981512393","https://openalex.org/W2990099924","https://openalex.org/W2990702801","https://openalex.org/W2991216808","https://openalex.org/W2999049882","https://openalex.org/W3003437478","https://openalex.org/W3003474258","https://openalex.org/W3005974859","https://openalex.org/W3012200103","https://openalex.org/W3013409203","https://openalex.org/W3016404858","https://openalex.org/W3016600231","https://openalex.org/W3026575546","https://openalex.org/W3031288689","https://openalex.org/W3034543232","https://openalex.org/W3035172746","https://openalex.org/W3035483366","https://openalex.org/W3035574168","https://openalex.org/W3035750252","https://openalex.org/W3036013846","https://openalex.org/W3036420677","https://openalex.org/W3039448353","https://openalex.org/W3039883906","https://openalex.org/W3043274762","https://openalex.org/W3091021773","https://openalex.org/W3093499891","https://openalex.org/W3094277917","https://openalex.org/W3099917135","https://openalex.org/W3100435238","https://openalex.org/W3100675813","https://openalex.org/W3101778766","https://openalex.org/W3109944402","https://openalex.org/W3111606041","https://openalex.org/W3113491757","https://openalex.org/W3119197669","https://openalex.org/W3120083872","https://openalex.org/W3120363534","https://openalex.org/W3126960890","https://openalex.org/W3129559111","https://openalex.org/W3133230180","https://openalex.org/W3133318722","https://openalex.org/W3134020009","https://openalex.org/W3174198185","https://openalex.org/W3209147954","https://openalex.org/W3211391682","https://openalex.org/W4205971911","https://openalex.org/W4250482878","https://openalex.org/W6638667902","https://openalex.org/W6678815747","https://openalex.org/W6697673422","https://openalex.org/W6724804524","https://openalex.org/W6730095352","https://openalex.org/W6739366716","https://openalex.org/W6745935785","https://openalex.org/W6746262046","https://openalex.org/W6746282794","https://openalex.org/W6750227808","https://openalex.org/W6751546485","https://openalex.org/W6758833332","https://openalex.org/W6760236677","https://openalex.org/W6763089890","https://openalex.org/W6767325187","https://openalex.org/W6770316731","https://openalex.org/W6771790678","https://openalex.org/W6776142756","https://openalex.org/W6780061525","https://openalex.org/W6783070170","https://openalex.org/W6784033218","https://openalex.org/W6791257521"],"related_works":["https://openalex.org/W3153476185","https://openalex.org/W3176702409","https://openalex.org/W3172285804","https://openalex.org/W3202387443","https://openalex.org/W2521687658","https://openalex.org/W2909616451","https://openalex.org/W3006979633","https://openalex.org/W3009646841","https://openalex.org/W3042982411","https://openalex.org/W3191439748","https://openalex.org/W2969592259","https://openalex.org/W2588287494","https://openalex.org/W3035380445","https://openalex.org/W2594895979","https://openalex.org/W2588296407","https://openalex.org/W2789774226","https://openalex.org/W2991354851","https://openalex.org/W3190697505","https://openalex.org/W2948766420","https://openalex.org/W2971978667"],"abstract_inverted_index":{"Scalable":[0],"systems":[1,17],"for":[2,121,130,141],"automated":[3,83,142],"driving":[4,143],"have":[5],"to":[6,20,89],"reliably":[7],"cope":[8],"with":[9,37],"an":[10],"open-world":[11],"setting.":[12],"This":[13],"means,":[14],"the":[15,44,50,61,75,101,150],"perception":[16,132],"are":[18],"exposed":[19],"drastic":[21],"domain":[22,92,109,122,167],"shifts,":[23],"like":[24],"changes":[25],"in":[26,94,166],"weather":[27],"conditions,":[28],"time-dependent":[29],"aspects,":[30],"or":[31],"geographic":[32],"regions.":[33],"Covering":[34],"all":[35],"domains":[36,48],"annotated":[38],"data":[39],"is":[40,86,133,137],"impossible":[41],"because":[42],"of":[43,47,60,107,118,149,163],"endless":[45],"variations":[46],"and":[49,52,71,74,97,170],"time-consuming":[51],"expensive":[53],"annotation":[54],"process.":[55],"Furthermore,":[56],"fast":[57],"development":[58],"cycles":[59],"system":[62],"additionally":[63],"introduce":[64],"hardware":[65],"changes,":[66],"such":[67],"as":[68],"sensor":[69,140],"types":[70],"vehicle":[72],"setups,":[73],"required":[76],"knowledge":[77],"transfer":[78],"from":[79],"simulation.To":[80],"enable":[81],"scalable":[82],"driving,":[84],"it":[85],"therefore":[87],"crucial":[88],"address":[90],"these":[91],"shifts":[93],"a":[95,104,116,128,138,160],"robust":[96],"efficient":[98],"manner.":[99],"Over":[100],"last":[102],"years,":[103],"vast":[105],"amount":[106],"different":[108],"adaptation":[110,123,168],"techniques":[111],"evolved.":[112],"There":[113],"already":[114],"exists":[115],"number":[117],"survey":[119,129],"papers":[120],"on":[124],"camera":[125],"images,":[126],"however,":[127],"LiDAR":[131,136,178],"absent.":[134],"Nevertheless,":[135],"vital":[139],"that":[144],"provides":[145],"detailed":[146],"3D":[147],"scans":[148],"vehicle\u2019s":[151],"surroundings.":[152],"To":[153],"stimulate":[154],"future":[155],"research,":[156],"this":[157],"paper":[158],"presents":[159],"comprehensive":[161],"review":[162],"recent":[164],"progress":[165],"methods":[169],"formulates":[171],"interesting":[172],"research":[173],"questions":[174],"specifically":[175],"targeted":[176],"towards":[177],"perception.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
