{"id":"https://openalex.org/W3036212203","doi":"https://doi.org/10.1109/icccs49078.2020.9118531","title":"Behavior Prediction Using 3D Box Estimation in Road Environment","display_name":"Behavior Prediction Using 3D Box Estimation in Road Environment","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3036212203","doi":"https://doi.org/10.1109/icccs49078.2020.9118531","mag":"3036212203"},"language":"en","primary_location":{"id":"doi:10.1109/icccs49078.2020.9118531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs49078.2020.9118531","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","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":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","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/A5017313009","display_name":"Shinnosuke Kaida","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099780","display_name":"National Institute of Technology, Kurume College","ror":"https://ror.org/00xefvv79","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210099780","https://openalex.org/I4210120810"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinnosuke Kaida","raw_affiliation_strings":["Advanced Engineering School, National Institute of Technology, Kurume College, Kurume, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Engineering School, National Institute of Technology, Kurume College, Kurume, Fukuoka, Japan","institution_ids":["https://openalex.org/I4210099780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003927462","display_name":"Pornprom Kiawjak","orcid":null},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pornprom Kiawjak","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut\u2019s Institute of Technology, Ladkrabang, Bangkok, Thailand","Faculty of Information Technology, King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut\u2019s Institute of Technology, Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]},{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001834826","display_name":"Kousuke Matsushima","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099780","display_name":"National Institute of Technology, Kurume College","ror":"https://ror.org/00xefvv79","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210099780","https://openalex.org/I4210120810"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kousuke Matsushima","raw_affiliation_strings":["Dept. of Control and Information Systems Engineering, National Institute of Technology, Kurume College, Kurume, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Control and Information Systems Engineering, National Institute of Technology, Kurume College, Kurume, Fukuoka, Japan","institution_ids":["https://openalex.org/I4210099780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6813,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57943144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"256","last_page":"260"},"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":0.992900013923645,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.7860095500946045},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.733797550201416},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.692767858505249},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6789230704307556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6097908020019531},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.601146399974823},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5859035849571228},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5524321794509888},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4678661823272705},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4109300971031189},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.3828025460243225},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32288119196891785},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.10608449578285217},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10210737586021423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0883660614490509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7860095500946045},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.733797550201416},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.692767858505249},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6789230704307556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6097908020019531},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.601146399974823},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5859035849571228},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5524321794509888},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4678661823272705},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4109300971031189},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.3828025460243225},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32288119196891785},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10608449578285217},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10210737586021423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0883660614490509},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"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/icccs49078.2020.9118531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs49078.2020.9118531","pdf_url":null,"source":{"id":"https://openalex.org/S4306498617","display_name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","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":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2102605133","https://openalex.org/W2115579991","https://openalex.org/W2193145675","https://openalex.org/W2560544142","https://openalex.org/W2962835968","https://openalex.org/W2962888833","https://openalex.org/W2963037989","https://openalex.org/W2963364380","https://openalex.org/W2963727135","https://openalex.org/W2964166085","https://openalex.org/W3106250896","https://openalex.org/W6637373629","https://openalex.org/W6675026286","https://openalex.org/W6730709292","https://openalex.org/W6745896446"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W4319317934","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W2901265155","https://openalex.org/W1819938260","https://openalex.org/W2340892746"],"abstract_inverted_index":{"Autonomous":[0],"vehicle":[1],"technology":[2],"will":[3],"make":[4],"possibility":[5,109],"of":[6,20,27,61,68,103,134,152,191],"significant":[7],"benefits":[8],"to":[9,46,55,90],"social":[10],"welfare":[11],"such":[12],"as":[13,197],"reducing":[14,24],"traffic":[15],"casualties,":[16],"assisting":[17],"the":[18,21,25,58,62,66,69,97,111,132,148,153,156,186,189,192],"mobility":[19],"elderly,":[22],"and":[23,33,64,76,150,194,199],"burden":[26],"driving.":[28],"Among":[29],"them,":[30],"collision":[31,49],"prediction":[32,140],"avoidance":[34,50],"system":[35],"are":[36,80,159],"especially":[37],"important":[38],"topics":[39],"in":[40,124,138,155],"real":[41],"road":[42],"scenes.":[43],"In":[44,127,144],"order":[45],"realize":[47],"a":[48,108,162],"system,":[51],"it":[52],"is":[53,87,99,107],"necessary":[54],"accurately":[56],"grasp":[57],"surrounding":[59],"environment":[60],"self-location":[63],"predict":[65,185],"behavior":[67,83,139],"target.":[70],"Camera":[71],"information":[72,79],"or":[73],"Light":[74],"Detection":[75],"Ranging":[77],"(LiDAR)":[78],"used":[81],"for":[82],"prediction.":[84],"However,":[85],"LiDAR":[86],"impractical":[88],"due":[89],"its":[91,202],"high":[92],"cost.":[93],"For":[94],"camera":[95,142],"information,":[96],"accuracy":[98,112],"lower":[100],"than":[101],"that":[102,110,120],"LiDAR,":[104],"however":[105],"there":[106],"can":[113],"be":[114],"compensated":[115],"by":[116],"introducing":[117],"machine":[118],"learning":[119],"has":[121],"been":[122],"developing":[123],"recent":[125],"years.":[126],"this":[128],"study,":[129],"we":[130,170,174,184,200],"investigate":[131],"usefulness":[133],"3D":[135,145],"box":[136,146,158,193],"estimation":[137],"using":[141,161,188],"information.":[143],"estimation,":[147],"dimensions":[149],"orientation":[151],"target":[154],"2D":[157],"regressed":[160],"CNN":[163],"model.":[164],"We":[165],"use":[166],"MultiBin":[167],"loss":[168],"when":[169],"regress":[171],"orientation.":[172],"And":[173],"estimate":[175],"final":[176],"3Dbox":[177],"parameters":[178],"based":[179],"on":[180],"regression":[181],"values.":[182],"Finally,":[183],"trajectory":[187],"center":[190],"four":[195],"vertices":[196],"inputs,":[198],"verify":[201],"usefulness.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}