{"id":"https://openalex.org/W7136389710","doi":"https://doi.org/10.1109/itsc60802.2025.11423229","title":"Improving Camera-Based BEV Map Segmentation by Sampling Repeatedly","display_name":"Improving Camera-Based BEV Map Segmentation by Sampling Repeatedly","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7136389710","doi":"https://doi.org/10.1109/itsc60802.2025.11423229"},"language":null,"primary_location":{"id":"doi:10.1109/itsc60802.2025.11423229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"article","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/A5065151385","display_name":"Stefan Sch\u00fctte","orcid":"https://orcid.org/0000-0003-3126-4626"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Sch\u00fctte","raw_affiliation_strings":["Institute for Control Theory and Systems Engineering, TU Dortmund University,Dortmund,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Control Theory and Systems Engineering, TU Dortmund University,Dortmund,Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089197868","display_name":"Timo Osterburg","orcid":"https://orcid.org/0000-0001-7637-0700"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timo Osterburg","raw_affiliation_strings":["Institute for Control Theory and Systems Engineering, TU Dortmund University,Dortmund,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Control Theory and Systems Engineering, TU Dortmund University,Dortmund,Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051394730","display_name":"Torsten Bertram","orcid":"https://orcid.org/0000-0002-6096-8190"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Torsten Bertram","raw_affiliation_strings":["Institute for Control Theory and Systems Engineering, TU Dortmund University,Dortmund,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Control Theory and Systems Engineering, TU Dortmund University,Dortmund,Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6748018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2344","last_page":"2349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.16920000314712524,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.16920000314712524,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.07810000330209732,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.07159999758005142,"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/segmentation","display_name":"Segmentation","score":0.4772999882698059},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4065999984741211},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.36579999327659607},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.32899999618530273},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3197999894618988}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6262999773025513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5512999892234802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5110999941825867},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4772999882698059},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.36579999327659607},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.32899999618530273},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3197999894618988},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.22849999368190765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc60802.2025.11423229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4746626019477844,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2963351448","https://openalex.org/W2963587345","https://openalex.org/W2971262757","https://openalex.org/W3035574168","https://openalex.org/W3109395584","https://openalex.org/W3203158837","https://openalex.org/W4383108631","https://openalex.org/W4386076226","https://openalex.org/W4390872833","https://openalex.org/W4402727126","https://openalex.org/W4403160743","https://openalex.org/W4405219754","https://openalex.org/W4405785436","https://openalex.org/W4405787442"],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,46,75],"of":[2,19,51,60],"the":[3,16,61,73,82],"scene":[4,45,83],"surrounding":[5],"a":[6,49,66],"car":[7],"in":[8,81],"Bird's-Eye-View":[9],"(BEV)":[10],"is":[11],"an":[12,20],"important":[13],"task":[14,76],"for":[15,42,57,84],"safe":[17],"operation":[18],"automated":[21],"vehicle.":[22],"Information":[23],"about":[24],"drivable":[25],"areas":[26],"and":[27],"interactions":[28],"with":[29,53],"vulnerable":[30],"road":[31],"users":[32],"such":[33],"as":[34],"pedestrians":[35],"needs":[36],"to":[37,71,89],"be":[38],"available.":[39],"Most":[40],"methods":[41],"local":[43],"semantic":[44],"rely":[47],"on":[48],"combination":[50],"cameras":[52],"expensive":[54],"lidar":[55],"sensors":[56],"accurate":[58],"mapping":[59],"BEV":[62,90],"scene.":[63],"We":[64],"propose":[65],"camera-only":[67],"approach":[68],"that":[69],"aims":[70],"solve":[72],"map":[74],"by":[77],"estimating":[78],"ground":[79],"height":[80],"resource":[85],"efficient":[86],"perspective":[87],"view":[88],"lifting.":[91]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-17T00:00:00"}
