{"id":"https://openalex.org/W4383097531","doi":"https://doi.org/10.1109/icra48891.2023.10160592","title":"NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving","display_name":"NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383097531","doi":"https://doi.org/10.1109/icra48891.2023.10160592"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10160592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10160592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","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/A5113845386","display_name":"\u0410. \u0412. \u041f\u043e\u043f\u043e\u0432","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alexander Popov","raw_affiliation_strings":["Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy, NVIDIA"],"affiliations":[{"raw_affiliation_string":"Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy, NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029340766","display_name":"Patrik Gebhardt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patrik Gebhardt","raw_affiliation_strings":["Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy, NVIDIA"],"affiliations":[{"raw_affiliation_string":"Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy, NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451984","display_name":"Ke Chen","orcid":"https://orcid.org/0000-0001-9457-9364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke Chen","raw_affiliation_strings":["Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy, NVIDIA"],"affiliations":[{"raw_affiliation_string":"Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy, NVIDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005398372","display_name":"Ryan Oldja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryan Oldja","raw_affiliation_strings":["Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy, NVIDIA"],"affiliations":[{"raw_affiliation_string":"Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy, NVIDIA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113845386"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8876,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93969163,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6958","last_page":"6964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.7478123903274536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6832238435745239},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6266968250274658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772114396095276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.553359866142273},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4746975302696228},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43413373827934265},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4019821286201477},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1324790120124817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12484130263328552},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11075899004936218}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7478123903274536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832238435745239},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6266968250274658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772114396095276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.553359866142273},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4746975302696228},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43413373827934265},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4019821286201477},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1324790120124817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12484130263328552},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11075899004936218},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10160592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10160592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1684234301","https://openalex.org/W2565639579","https://openalex.org/W2611781169","https://openalex.org/W2798965597","https://openalex.org/W2897876743","https://openalex.org/W2963677766","https://openalex.org/W2968443604","https://openalex.org/W2969755742","https://openalex.org/W2972211064","https://openalex.org/W2996476754","https://openalex.org/W2998614245","https://openalex.org/W3035574168","https://openalex.org/W3036394006","https://openalex.org/W3036452913","https://openalex.org/W3094632837","https://openalex.org/W3098452673","https://openalex.org/W3105073457","https://openalex.org/W3109395584","https://openalex.org/W3110900159","https://openalex.org/W3114753236","https://openalex.org/W3118132944","https://openalex.org/W3118479569","https://openalex.org/W3129347733","https://openalex.org/W4214763741","https://openalex.org/W4245967256","https://openalex.org/W4287652473","https://openalex.org/W6683961803","https://openalex.org/W6760424586","https://openalex.org/W6760782946","https://openalex.org/W6780075094","https://openalex.org/W6781473119","https://openalex.org/W6781714762","https://openalex.org/W6783650323","https://openalex.org/W6786145065"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W2906246018"],"abstract_inverted_index":{"Detecting":[0],"obstacles":[1,24,46],"is":[2,70],"crucial":[3],"for":[4,103],"safe":[5],"and":[6,25,47,86,124],"efficient":[7],"autonomous":[8,107],"driving.":[9],"To":[10],"this":[11],"end,":[12],"we":[13],"present":[14],"NVRadarNet,":[15],"a":[16,52],"deep":[17],"neural":[18],"network":[19,34,58,98,114],"(DNN)":[20],"that":[21],"detects":[22],"dynamic":[23,45],"drivable":[26,61],"free":[27,62,87],"space":[28,63,88],"using":[29],"automotive":[30],"RADAR":[31,41,79,94],"sensors.":[32],"The":[33,57,97,113],"utilizes":[35],"temporally":[36],"accumulated":[37],"data":[38,95],"from":[39,93],"multiple":[40],"sensors":[42],"to":[43,64,76,83],"detect":[44,65],"compute":[48],"their":[49],"orientation":[50],"in":[51,81,90,109],"top-down":[53],"bird's-eye":[54],"view":[55],"(BEV).":[56],"also":[59],"regresses":[60],"unclassified":[66],"obstacles.":[67],"Our":[68],"DNN":[69],"the":[71],"first":[72],"of":[73],"its":[74],"kind":[75],"utilize":[77],"sparse":[78],"signals":[80],"order":[82],"perform":[84],"obstacle":[85],"detection":[89],"real":[91,110,118],"time":[92,119],"only.":[96],"has":[99],"been":[100],"successfully":[101],"used":[102],"perception":[104],"on":[105,120],"our":[106],"vehicles":[108],"self-driving":[111],"scenarios.":[112],"runs":[115],"faster":[116],"than":[117],"an":[121],"embedded":[122],"GPU":[123],"shows":[125],"good":[126],"generalization":[127],"across":[128],"geographic":[129],"regions.":[130],"<sup":[131,134],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[132,135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[133,136],"Video":[137],"at":[138],"https://youtu.be/WlwJJMltoJY.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
