{"id":"https://openalex.org/W2774756930","doi":"https://doi.org/10.1109/sdf.2017.8126350","title":"Comparison of random forest and long short-term memory network performances in classification tasks using radar","display_name":"Comparison of random forest and long short-term memory network performances in classification tasks using radar","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774756930","doi":"https://doi.org/10.1109/sdf.2017.8126350","mag":"2774756930"},"language":"en","primary_location":{"id":"doi:10.1109/sdf.2017.8126350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf.2017.8126350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF)","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/A5052556940","display_name":"Ole Schumann","orcid":"https://orcid.org/0000-0001-8953-1075"},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ole Schumann","raw_affiliation_strings":["Daimler AG, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Daimler AG, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052828208","display_name":"Christian W\u00f6hler","orcid":"https://orcid.org/0000-0002-0715-0955"},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Wohler","raw_affiliation_strings":["Daimler AG, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Daimler AG, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042046215","display_name":"Markus Hahn","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Hahn","raw_affiliation_strings":["Daimler AG, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Daimler AG, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089546333","display_name":"J\u00fcrgen Dickmann","orcid":null},"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":"Jurgen Dickmann","raw_affiliation_strings":["Technische Universit\u00e4t Dortmund, Image Analysis Group, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dortmund, Image Analysis Group, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052556940"],"corresponding_institution_ids":["https://openalex.org/I891521709"],"apc_list":null,"apc_paid":null,"fwci":4.8754,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.96146509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9894000291824341,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9894000291824341,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.987500011920929,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.792523980140686},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7327063083648682},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5668272376060486},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5599121451377869},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.5334648489952087},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4897427558898926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.485761433839798},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.48485028743743896},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.46466007828712463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3716297745704651},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34449511766433716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21890702843666077},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1428993046283722},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12408909201622009},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0796712338924408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792523980140686},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7327063083648682},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5668272376060486},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5599121451377869},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5334648489952087},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4897427558898926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.485761433839798},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.48485028743743896},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46466007828712463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3716297745704651},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34449511766433716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21890702843666077},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1428993046283722},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12408909201622009},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0796712338924408},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sdf.2017.8126350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf.2017.8126350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1605443351","https://openalex.org/W1673310716","https://openalex.org/W1686810756","https://openalex.org/W2064675550","https://openalex.org/W2097117768","https://openalex.org/W2111917420","https://openalex.org/W2137344220","https://openalex.org/W2163605009","https://openalex.org/W2200374509","https://openalex.org/W2350054051","https://openalex.org/W2513079078","https://openalex.org/W2513836842","https://openalex.org/W2611781169","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2950179405","https://openalex.org/W2962835968","https://openalex.org/W2962949934","https://openalex.org/W3146526538","https://openalex.org/W4212883601","https://openalex.org/W6636135910","https://openalex.org/W6637131181","https://openalex.org/W6637373629","https://openalex.org/W6674914833","https://openalex.org/W6680233070","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Robust":[0],"semantic":[1],"knowledge":[2],"of":[3,8,31,66],"the":[4,9,22,26,32],"environment":[5],"is":[6,38,52],"one":[7],"building":[10],"blocks":[11],"for":[12,21],"autonomous":[13],"driving.":[14],"If":[15],"different":[16,77],"sensor":[17],"types":[18],"are":[19,79],"employed":[20],"same":[23],"task":[24],"independently,":[25],"overall":[27],"accuracy":[28],"and":[29,45,81,87],"safety":[30],"system":[33],"can":[34,73],"increase.":[35],"Therefore,":[36],"it":[37,51],"desirable":[39],"to":[40,46],"maximize":[41],"each":[42],"sensor's":[43],"capabilities":[44],"build":[47],"up":[48],"redundancies,":[49],"as":[50],"often":[53],"required":[54],"by":[55],"functional":[56],"safety.":[57],"To":[58],"this":[59,61],"end,":[60],"paper":[62],"demonstrates":[63],"how":[64],"classification":[65],"dynamic":[67],"objects":[68],"using":[69],"solely":[70],"radar":[71],"sensors":[72],"be":[74],"performed.":[75],"Two":[76],"methods":[78],"utilized":[80],"compared:":[82],"a":[83,88],"random":[84],"forest":[85],"classifier":[86],"long":[89],"short-term":[90],"memory":[91],"network":[92],"(LSTM).":[93]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
