{"id":"https://openalex.org/W7105526526","doi":"https://doi.org/10.21227/akgz-xg04","title":"\"Traffic Scene Analysis Dataset for Vehicle Detection and Distance Estimation\"","display_name":"\"Traffic Scene Analysis Dataset for Vehicle Detection and Distance Estimation\"","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7105526526","doi":"https://doi.org/10.21227/akgz-xg04"},"language":null,"primary_location":{"id":"doi:10.21227/akgz-xg04","is_oa":true,"landing_page_url":"https://doi.org/10.21227/akgz-xg04","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/akgz-xg04","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Junyun Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Junyun Wu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5950000286102295},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5501000285148621},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.550000011920929},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4961000084877014},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47269999980926514},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.47049999237060547},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.426800012588501},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4237000048160553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135000228881836},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5950000286102295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5742999911308289},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5501000285148621},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.550000011920929},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5241000056266785},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47269999980926514},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.47049999237060547},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.426800012588501},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.415800005197525},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.39469999074935913},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28360000252723694},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C2781317605","wikidata":"https://www.wikidata.org/wiki/Q7832483","display_name":"Traffic analysis","level":2,"score":0.263700008392334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/akgz-xg04","is_oa":true,"landing_page_url":"https://doi.org/10.21227/akgz-xg04","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/akgz-xg04","is_oa":true,"landing_page_url":"https://doi.org/10.21227/akgz-xg04","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\"This":[0],"dataset":[1,41],"provides":[2],"a":[3,91],"comprehensive":[4],"resource":[5],"for":[6,50,58,94],"traffic":[7,30],"scene":[8],"understanding,":[9],"focusing":[10],"on":[11],"vehicle":[12,37],"detection,":[13,79],"tracking,":[14],"and":[15,25,53,69,82,96,105],"spatial":[16,51],"analysis":[17],"in":[18,77,101],"highway":[19],"environments.":[20],"It":[21],"includes":[22],"raw":[23],"images":[24],"video":[26],"sequences":[27],"capturing":[28],"diverse":[29],"conditions,":[31],"alongside":[32],"YOLOv5-based":[33],"annotated":[34],"frames":[35],"with":[36],"bounding":[38],"boxes.":[39],"The":[40],"features":[42],"processed":[43],"outputs":[44],"such":[45],"as":[46,90],"bird's-eye":[47],"view":[48],"transformations":[49],"context":[52],"inter-vehicle":[54],"distance":[55],"measurements,":[56],"essential":[57],"safety":[59],"applications.":[60],"Supporting":[61],"materials":[62],"encompass":[63],"evaluation":[64],"graphs":[65],"(e.g.,":[66],"F1-score":[67],"visualizations)":[68],"multi-format":[70],"media":[71],"(JPEG,":[72],"PNG,":[73],"MP4),":[74],"enabling":[75],"tasks":[76],"object":[78],"trajectory":[80],"analysis,":[81],"collision":[83],"risk":[84],"assessment.":[85],"This":[86],"multi-modal":[87],"collection":[88],"serves":[89],"valuable":[92],"benchmark":[93],"developing":[95],"testing":[97],"computer":[98],"vision":[99],"algorithms":[100],"intelligent":[102],"transportation":[103],"systems":[104],"autonomous":[106],"driving":[107],"research.\"":[108]},"counts_by_year":[],"updated_date":"2025-11-13T11:05:06.444514","created_date":"2025-11-13T00:00:00"}