{"id":"https://openalex.org/W4293024052","doi":"https://doi.org/10.1145/3489517.3530444","title":"Enabling efficient deep convolutional neural network-based sensor fusion for autonomous driving","display_name":"Enabling efficient deep convolutional neural network-based sensor fusion for autonomous driving","publication_year":2022,"publication_date":"2022-07-10","ids":{"openalex":"https://openalex.org/W4293024052","doi":"https://doi.org/10.1145/3489517.3530444"},"language":"en","primary_location":{"id":"doi:10.1145/3489517.3530444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3489517.3530444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3489517.3530444","source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3489517.3530444","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055704602","display_name":"Xiaoming Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaoming Zeng","raw_affiliation_strings":["The University of Texas at Dallas"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418321","display_name":"Zhendong Wang","orcid":"https://orcid.org/0000-0002-0647-3808"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhendong Wang","raw_affiliation_strings":["The University of Texas at Dallas"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025084930","display_name":"Yang Hu","orcid":"https://orcid.org/0000-0002-4856-5014"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yang Hu","raw_affiliation_strings":["The University of Texas at Dallas and Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas and Tsinghua University, China","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055704602"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":6.4252,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.9800464,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"283","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7947922945022583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7413027286529541},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7206159830093384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6978267431259155},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5659365653991699},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5177218317985535},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49631673097610474},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4468301236629486},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44067421555519104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4347797632217407},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4294303059577942},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4133864939212799},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37402141094207764},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12485584616661072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947922945022583},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7413027286529541},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7206159830093384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6978267431259155},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5659365653991699},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5177218317985535},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49631673097610474},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4468301236629486},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44067421555519104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4347797632217407},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4294303059577942},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4133864939212799},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37402141094207764},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12485584616661072},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3489517.3530444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3489517.3530444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3489517.3530444","source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3489517.3530444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3489517.3530444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3489517.3530444","source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4348413472","display_name":null,"funder_award_id":"CCF 1822985","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5442345835","display_name":null,"funder_award_id":"CCF 1943490 (CAREER)","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7784844501","display_name":null,"funder_award_id":"1822985","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8993080025","display_name":"CAREER: Rethinking the Architectures and Systems for Autonomous Driving Infrastructure","funder_award_id":"1943490","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293024052.pdf","grobid_xml":"https://content.openalex.org/works/W4293024052.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1964641132","https://openalex.org/W2081195086","https://openalex.org/W2116216752","https://openalex.org/W2133665775","https://openalex.org/W2150066425","https://openalex.org/W2163605009","https://openalex.org/W2327109395","https://openalex.org/W2587989515","https://openalex.org/W2597507805","https://openalex.org/W2891529090","https://openalex.org/W2895865366","https://openalex.org/W2932012013","https://openalex.org/W3080961686","https://openalex.org/W3103520796","https://openalex.org/W6654536944","https://openalex.org/W6678657633","https://openalex.org/W6687483927","https://openalex.org/W6749256413"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1],"demands":[2],"accurate":[3],"perception":[4,62],"and":[5,174],"safe":[6],"decision-making.":[7],"To":[8],"achieve":[9,60,147,189],"this,":[10],"automated":[11],"vehicles":[12],"are":[13,94],"typically":[14],"equipped":[15],"with":[16,171,195],"multiple":[17,49],"sensors":[18],"(e.g.,":[19],"cameras,":[20],"Lidar,":[21],"etc.),":[22],"enabling":[23],"them":[24],"to":[25,54,59,87,106,128,146,166],"exploit":[26],"complementary":[27,175],"environmental":[28],"contexts":[29],"by":[30,72],"fusing":[31,116],"data":[32],"from":[33,79,178],"different":[34,80,179],"sensing":[35],"modalities.":[36,180],"With":[37,150],"the":[38,46,90,109,115,125,130,140,144,151],"success":[39],"of":[40,111,143,153],"Deep":[41],"Convolutional":[42],"Neural":[43],"Network":[44],"(DCNN),":[45],"fusion":[47,68,71,186],"between":[48,114],"DCNNs":[50],"has":[51],"been":[52],"proved":[53],"be":[55],"a":[56,102,122,136],"promising":[57],"strategy":[58],"satisfactory":[61],"accuracy.":[63,149],"However,":[64],"existing":[65],"mainstream":[66],"DCNN":[67,145,165],"strategies":[69],"conduct":[70],"simply":[73],"element-wisely":[74],"adding":[75],"feature":[76,103,112,117,154,169],"maps":[77,170],"extracted":[78],"modalities":[81],"together":[82],"at":[83],"various":[84],"stages,":[85],"failing":[86],"consider":[88],"whether":[89],"features":[91],"being":[92],"fused":[93],"matched":[95],"or":[96],"not.":[97],"Therefore,":[98],"we":[99,120],"first":[100],"propose":[101,121,135],"disparity":[104,113,155],"metric":[105],"quantitatively":[107],"measure":[108],"degree":[110],"maps.":[118],"Then,":[119],"Fusion-filter":[123],"as":[124,157],"Feature-matching":[126],"techniques":[127,187],"tackle":[129],"feature-mismatching":[131],"issue.":[132],"We":[133],"also":[134],"Layer-sharing":[137],"technique":[138],"in":[139],"deep":[141],"layer":[142],"high":[148],"assistance":[152],"working":[156],"an":[158],"additional":[159],"loss,":[160],"our":[161,184],"proposed":[162,185],"technologies":[163],"enable":[164],"learn":[167],"corresponding":[168],"similar":[172],"characteristics":[173],"visual":[176],"context":[177],"Evaluations":[181],"demonstrate":[182],"that":[183],"can":[188],"higher":[190],"accuracy":[191],"on":[192],"KITTI":[193],"dataset":[194],"less":[196],"computation":[197],"resources":[198],"consumption.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}