{"id":"https://openalex.org/W4404036985","doi":"https://doi.org/10.23919/eurad61604.2024.10734887","title":"Optimizing PointNet++ and DBSCAN for Object Detection in Automotive Radar Point Clouds","display_name":"Optimizing PointNet++ and DBSCAN for Object Detection in Automotive Radar Point Clouds","publication_year":2024,"publication_date":"2024-09-25","ids":{"openalex":"https://openalex.org/W4404036985","doi":"https://doi.org/10.23919/eurad61604.2024.10734887"},"language":"en","primary_location":{"id":"doi:10.23919/eurad61604.2024.10734887","doi":"https://doi.org/10.23919/eurad61604.2024.10734887","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eurad61604.2024.10734887","pdf_url":null,"source":{"id":"https://openalex.org/S4363608355","display_name":"European Radar Conference (EuRAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st European Radar Conference (EuRAD)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.utwente.nl/files/479252327/Optimizing_PointNet_and_DBSCAN_for_Object_Detection_in_Automotive_Radar_Point_Clouds.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066958271","display_name":"Konstantinos Fatseas","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Konstantinos Fatseas","raw_affiliation_strings":["University of Twente,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente,The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111443523","display_name":"Marco J.G. Bekooij","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marco J. G. Bekooij","raw_affiliation_strings":["University of Twente,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente,The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056289030","display_name":"Willem P. Sanberg","orcid":"https://orcid.org/0000-0003-0118-2048","observed_orcids":["https://orcid.org/0000-0003-0118-2048"]},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Willem P. Sanberg","raw_affiliation_strings":["NXP Semiconductors,The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors,The Netherlands","institution_ids":["https://openalex.org/I109147379"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8409,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80675051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8140000104904175,"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":0.8140000104904175,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.050200000405311584,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.03880000114440918,"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/pointnet","display_name":"PointNet","score":0.8600000143051147},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.9769999980926514},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.7020000219345093},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.8809999823570251},{"id":"https://openalex.org/keywords/driver-assistance-systems","display_name":"driver assistance systems","score":0.8399999737739563},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9440000057220459},{"id":"https://openalex.org/keywords/neural-architecture-search","display_name":"neural architecture search","score":0.9990000128746033},{"id":"https://openalex.org/keywords/radial-velocity","display_name":"radial velocity","score":0.7279999852180481},{"id":"https://openalex.org/keywords/model-compression","display_name":"model compression","score":0.6830000281333923}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7488453388214111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816267967224121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578126072883606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48562684655189514},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4814264476299286},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46537989377975464},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.45663386583328247},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4547199606895447},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.4376230537891388},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4168761670589447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32281967997550964},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.20781177282333374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1493702530860901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11269950866699219},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eurad61604.2024.10734887","doi":"https://doi.org/10.23919/eurad61604.2024.10734887","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eurad61604.2024.10734887","pdf_url":null,"source":{"id":"https://openalex.org/S4363608355","display_name":"European Radar Conference (EuRAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st European Radar Conference (EuRAD)","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/6b6858e7-5a1d-4f1e-b9ee-76d54ef8e3cf","doi":null,"is_oa":true,"landing_page_url":"https://research.utwente.nl/files/479252327/Optimizing_PointNet_and_DBSCAN_for_Object_Detection_in_Automotive_Radar_Point_Clouds.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fatseas, K, Bekooij, M J G & Sanberg, W P 2024, Optimizing PointNet++ and DBSCAN for Object Detection in Automotive Radar Point Clouds. in 2024 21st European Radar Conference, EuRAD 2024. IEEE, pp. 39-42, 21st European Radar Conference, EuRAD 2024, Paris, France, 25/09/24. https://doi.org/10.23919/EuRAD61604.2024.10734887","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire/6b6858e7-5a1d-4f1e-b9ee-76d54ef8e3cf","doi":null,"is_oa":true,"landing_page_url":"https://research.utwente.nl/files/479252327/Optimizing_PointNet_and_DBSCAN_for_Object_Detection_in_Automotive_Radar_Point_Clouds.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fatseas, K, Bekooij, M J G & Sanberg, W P 2024, Optimizing PointNet++ and DBSCAN for Object Detection in Automotive Radar Point Clouds. in 2024 21st European Radar Conference, EuRAD 2024. IEEE, pp. 39-42, 21st European Radar Conference, EuRAD 2024, Paris, France, 25/09/24. https://doi.org/10.23919/EuRAD61604.2024.10734887","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2106411961","https://openalex.org/W2460657278","https://openalex.org/W2891649842","https://openalex.org/W2946547492","https://openalex.org/W2949676527","https://openalex.org/W2990710319","https://openalex.org/W2999423154","https://openalex.org/W3158378210","https://openalex.org/W3173062185","https://openalex.org/W3211855636","https://openalex.org/W4200604818","https://openalex.org/W4212872133","https://openalex.org/W4230808100","https://openalex.org/W4310925503","https://openalex.org/W4381745398","https://openalex.org/W4385800972"],"related_works":["https://openalex.org/W7024051786","https://openalex.org/W4414486214","https://openalex.org/W3032668181","https://openalex.org/W3171166462","https://openalex.org/W4404520529","https://openalex.org/W3204499273","https://openalex.org/W4408696400","https://openalex.org/W3118147824","https://openalex.org/W3211855636","https://openalex.org/W7203653515"],"abstract_inverted_index":{"Enhancing":[0],"object":[1,98,117],"detection":[2,99],"in":[3,29,49,81,91],"automotive":[4],"radar":[5],"point":[6],"clouds":[7],"is":[8],"vital":[9],"for":[10,26,58,115],"the":[11,35,40,85,111],"advancement":[12],"of":[13,24,43],"Advanced":[14],"Driver-Assistance":[15],"Systems":[16],"(ADAS).":[17],"This":[18,75],"paper":[19],"introduces":[20],"an":[21],"innovative":[22],"optimization":[23],"PointNet++":[25,77],"semantic":[27,82],"segmentation":[28,83],"conjunction":[30],"with":[31],"class-specific":[32],"clustering":[33],"using":[34],"DBSCAN":[36,112],"algorithm,":[37],"thereby":[38],"addressing":[39],"inherent":[41],"challenges":[42],"manual":[44],"tuning":[45],"and":[46,70,106],"domain-specific":[47],"design":[48],"traditional":[50],"methods.":[51],"Our":[52],"approach":[53],"leverages":[54],"measured":[55],"radial":[56],"velocity":[57],"more":[59],"effective":[60],"sampling":[61],"within":[62],"PointNet++,":[63],"augmented":[64],"by":[65,101],"comprehensive":[66],"Hyperparameter":[67],"Optimization":[68],"(HPO)":[69],"Neural":[71],"Architecture":[72],"Search":[73],"(NAS).":[74],"optimized":[76],"demonstrates":[78],"state-of-the-art":[79],"performance":[80,100],"on":[84],"RadarScenes":[86],"dataset,":[87],"achieving":[88],"notable":[89],"reductions":[90],"model":[92],"size.":[93],"Furthermore,":[94],"we":[95],"significantly":[96],"enhanced":[97],"introducing":[102],"a":[103],"scaling":[104],"vector":[105],"applying":[107],"HPO":[108],"to":[109],"fine-tune":[110],"algorithm\u2019s":[113],"parameters":[114],"each":[116],"class.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2024-11-05T00:00:00"}
