{"id":"https://openalex.org/W4317419705","doi":"https://doi.org/10.1109/gcce56475.2022.10014045","title":"Context-based Prediction for Crossing Intentions of Cyclists at Signalized Intersections","display_name":"Context-based Prediction for Crossing Intentions of Cyclists at Signalized Intersections","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317419705","doi":"https://doi.org/10.1109/gcce56475.2022.10014045"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014045","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014045","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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/A5101745760","display_name":"Yun Song","orcid":"https://orcid.org/0000-0002-6962-8475"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yun Song","raw_affiliation_strings":["Ritsumeikan University,College of Information Science and Engineering,Shiga,Japan","College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,College of Information Science and Engineering,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070068490","display_name":"Yanlei Gu","orcid":"https://orcid.org/0000-0001-9708-7429"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yanlei Gu","raw_affiliation_strings":["Ritsumeikan University,College of Information Science and Engineering,Shiga,Japan","College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,College of Information Science and Engineering,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091359587","display_name":"Igor Goncharenko","orcid":"https://orcid.org/0000-0002-8063-8068"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Igor Goncharenko","raw_affiliation_strings":["Ritsumeikan University,College of Information Science and Engineering,Shiga,Japan","College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,College of Information Science and Engineering,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22445019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"657","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T10370","display_name":"Traffic and Road Safety","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.998199999332428,"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/intersection","display_name":"Intersection (aeronautics)","score":0.8755708336830139},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6656298041343689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334184408187866},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5833368897438049},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4324710965156555},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41741108894348145},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34430694580078125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33450180292129517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15350961685180664},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10622856020927429}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.8755708336830139},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6656298041343689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334184408187866},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5833368897438049},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4324710965156555},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41741108894348145},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34430694580078125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33450180292129517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15350961685180664},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10622856020927429},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce56475.2022.10014045","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014045","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2039298103","https://openalex.org/W2739667207","https://openalex.org/W2745233855","https://openalex.org/W2889388863","https://openalex.org/W4287205887","https://openalex.org/W6793510043"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2941610985","https://openalex.org/W2791431590","https://openalex.org/W1978900583","https://openalex.org/W2350688482","https://openalex.org/W2122135111","https://openalex.org/W2053575972","https://openalex.org/W2087777635"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1,17,40,52],"will":[2],"inevitably":[3],"share":[4],"roads":[5],"with":[6,19,27,130],"Vulnerable":[7],"Road":[8],"Users":[9],"(VRUs).":[10],"Among":[11],"those":[12],"scenarios":[13],"where":[14],"autonomous":[15,39,51],"driving":[16],"encounter":[18],"VRUs,":[20],"such":[21],"as":[22,95],"pedestrians":[23,61],"and":[24,35,41,62,90,118,124,137],"cyclists,":[25],"intersection":[26],"crossings":[28,65],"is":[29,45,116],"worth":[30],"discussing":[31],"since":[32],"the":[33,55,86,93,104,108,113,121],"routes":[34],"moving":[36],"periods":[37],"of":[38,60,92,107,112],"VRUs":[42],"overlap.":[43],"It":[44],"therefore":[46],"essential":[47],"to":[48,102,139],"guarantee":[49],"that":[50,128],"can":[53],"predict":[54],"intentions":[56,106],"(stopping":[57],"or":[58],"crossing)":[59],"cyclists":[63],"at":[64,78],"for":[66,97],"safe":[67],"driving.":[68],"This":[69],"paper":[70],"proposes":[71],"a":[72,79,98],"cyclist":[73,94],"crossing":[74,105],"intention":[75],"prediction":[76],"system":[77,84,115],"signalized":[80],"intersection.":[81],"The":[82,110],"proposed":[83,114],"uses":[85],"signal":[87,131],"state,":[88],"speed":[89],"position":[91],"features":[96],"deep":[99],"neural":[100],"network":[101],"estimate":[103],"cyclists.":[109],"performance":[111],"tested":[117],"compared":[119],"on":[120],"dataset":[122],"collected":[123],"labeled.":[125],"Experiments":[126],"showed":[127],"predicting":[129],"state":[132],"provided":[133],"more":[134,141],"accurate":[135],"results":[136],"tended":[138],"be":[140],"robust":[142],"against":[143],"detection":[144],"noise.":[145]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
