{"id":"https://openalex.org/W3209826827","doi":"https://doi.org/10.1109/iv48863.2021.9575600","title":"Channel Boosting Feature Ensemble for Radar-based Object Detection","display_name":"Channel Boosting Feature Ensemble for Radar-based Object Detection","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3209826827","doi":"https://doi.org/10.1109/iv48863.2021.9575600","mag":"3209826827"},"language":"en","primary_location":{"id":"doi:10.1109/iv48863.2021.9575600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv48863.2021.9575600","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 (IV)","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/A5058523747","display_name":"Shoaib Azam","orcid":"https://orcid.org/0000-0003-3521-5098"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shoaib Azam","raw_affiliation_strings":["School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology,Gwangju,South Korea","School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology, Gwangju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology,Gwangju,South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036926878","display_name":"Farzeen Munir","orcid":"https://orcid.org/0000-0002-6760-4373"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Farzeen Munir","raw_affiliation_strings":["School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology,Gwangju,South Korea","School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology, Gwangju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology,Gwangju,South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056743652","display_name":"Moongu Jeon","orcid":"https://orcid.org/0000-0002-2775-7789"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moongu Jeon","raw_affiliation_strings":["School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology,Gwangju,South Korea","School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology, Gwangju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology,Gwangju,South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998199999332428,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804227828979492},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6312909126281738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5589630603790283},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5459626317024231},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5077518224716187},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5035402178764343},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.48065435886383057},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4146314859390259},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4035710096359253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3370933532714844},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32461458444595337},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.24494194984436035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21403130888938904},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13124313950538635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804227828979492},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6312909126281738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589630603790283},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5459626317024231},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5077518224716187},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5035402178764343},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.48065435886383057},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4146314859390259},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4035710096359253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3370933532714844},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32461458444595337},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.24494194984436035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21403130888938904},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13124313950538635},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv48863.2021.9575600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv48863.2021.9575600","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 (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4441184309","display_name":null,"funder_award_id":"R2020070004","funder_id":"https://openalex.org/F4320323890","funder_display_name":"Korea Creative Content Agency"},{"id":"https://openalex.org/G5273236558","display_name":null,"funder_award_id":"2014-3-00077","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6474525105","display_name":null,"funder_award_id":"2019R1A2C2087489","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322006","display_name":"Ministry of Culture, Sports and Tourism","ror":"https://ror.org/02fkk6k65"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320323890","display_name":"Korea Creative Content Agency","ror":"https://ror.org/036vyg793"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1489146341","https://openalex.org/W1574832801","https://openalex.org/W1861492603","https://openalex.org/W1964069486","https://openalex.org/W2031031248","https://openalex.org/W2031489346","https://openalex.org/W2046335673","https://openalex.org/W2133771133","https://openalex.org/W2134963432","https://openalex.org/W2147044389","https://openalex.org/W2194775991","https://openalex.org/W2242058672","https://openalex.org/W2289656154","https://openalex.org/W2560609797","https://openalex.org/W2566954145","https://openalex.org/W2588289902","https://openalex.org/W2796347433","https://openalex.org/W2883780447","https://openalex.org/W2888252458","https://openalex.org/W2897012880","https://openalex.org/W2899607431","https://openalex.org/W2908305534","https://openalex.org/W2912493354","https://openalex.org/W2943515156","https://openalex.org/W2963163009","https://openalex.org/W2963403868","https://openalex.org/W2963727135","https://openalex.org/W2963786238","https://openalex.org/W2992423032","https://openalex.org/W2997747012","https://openalex.org/W3082300976","https://openalex.org/W3093042376","https://openalex.org/W3096609285","https://openalex.org/W3103179390","https://openalex.org/W3106250896","https://openalex.org/W4287682901","https://openalex.org/W4293584584","https://openalex.org/W4385245566","https://openalex.org/W6629220869","https://openalex.org/W6639102338","https://openalex.org/W6687483927","https://openalex.org/W6739901393","https://openalex.org/W6750227808","https://openalex.org/W6763422710","https://openalex.org/W6778485988","https://openalex.org/W6783047433","https://openalex.org/W6783944632","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4210818033","https://openalex.org/W2963610131"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1],"are":[2,73],"conceived":[3],"to":[4,108],"provide":[5],"safe":[6],"and":[7,49,71,91,111,150,161,177,188,193],"secure":[8],"services":[9],"by":[10,17,186],"validating":[11],"the":[12,21,35,38,57,66,153,173,178],"safety":[13],"standards":[14],"as":[15,145],"indicated":[16],"SOTIF-ISO/PAS-21448":[18],"(Safety":[19],"of":[20,37],"intended":[22],"functionality)":[23],"<sup":[24,27],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[25,28],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[26,29],"https://www.daimler.com/innovation/case/autonomous/safety-first-for-automated-driving-2.htm.":[30],"Keeping":[31],"in":[32,44,56,89,113,158,190],"this":[33,96,123],"context,":[34],"perception":[36,58],"environment":[39],"plays":[40],"an":[41],"instrumental":[42],"role":[43],"conjunction":[45],"with":[46,131],"localization,":[47],"planning":[48],"control":[50],"modules.":[51],"As":[52],"a":[53,104,125,146],"pivotal":[54],"algorithm":[55],"stack,":[59],"object":[60,77,99,138],"detection":[61,78,100,139],"provides":[62,103],"extensive":[63],"insights":[64],"into":[65],"autonomous":[67],"vehicle's":[68],"surroundings.":[69],"Camera":[70],"Lidar":[72],"extensively":[74,170],"utilized":[75],"for":[76,122],"among":[79],"different":[80],"sensor":[81,106],"modalities,":[82],"but":[83],"these":[84],"exteroceptive":[85],"sensors":[86],"have":[87],"limitations":[88],"resolution":[90],"adverse":[92,114],"weather":[93,115,163,195],"conditions.":[94,116,164,196],"In":[95],"work,":[97],"radar-based":[98],"is":[101,135,143,169],"explored":[102],"counterpart":[105,184],"modality":[107],"be":[109],"deployed":[110],"used":[112],"The":[117,137,165],"radar":[118,142],"gives":[119],"complex":[120],"data;":[121],"purpose,":[124],"channel":[126],"boosting":[127],"feature":[128],"ensemble":[129],"method":[130,185],"transformer":[132],"encoder-decoder":[133],"network":[134],"proposed.":[136],"task":[140],"using":[141,172],"formulated":[144],"set":[147],"prediction":[148],"problem":[149],"evaluated":[151,171],"on":[152],"publicly":[154],"available":[155],"dataset":[156],"[1]":[157],"both":[159,191],"good":[160,192],"good-bad":[162,194],"proposed":[166],"method's":[167],"efficacy":[168],"COCO":[174],"evaluation":[175],"metric,":[176],"best-proposed":[179],"model":[180],"surpasses":[181],"its":[182],"state-of-the-art":[183],"12.55%":[187],"12.48%":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}