{"id":"https://openalex.org/W4390523419","doi":"https://doi.org/10.1145/3595916.3626436","title":"Rethinking Parking Slot Detection with Rotated Bounding Box","display_name":"Rethinking Parking Slot Detection with Rotated Bounding Box","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4390523419","doi":"https://doi.org/10.1145/3595916.3626436"},"language":"en","primary_location":{"id":"doi:10.1145/3595916.3626436","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3595916.3626436","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626436","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626436","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027341259","display_name":"Zhang Sheng-li","orcid":"https://orcid.org/0009-0008-3034-7300"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Zhang","raw_affiliation_strings":["Beijing Jiaotong University, CN"],"raw_orcid":"https://orcid.org/0009-0008-3034-7300","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006854141","display_name":"Shikui Wei","orcid":"https://orcid.org/0000-0003-3803-9763"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikui Wei","raw_affiliation_strings":["Beijing Jiaotong University, CN"],"raw_orcid":"https://orcid.org/0000-0003-3803-9763","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006621","display_name":"Shiyin Zhang","orcid":"https://orcid.org/0000-0002-2128-0190"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyin Zhang","raw_affiliation_strings":["Beijing Jiaotong University, CN"],"raw_orcid":"https://orcid.org/0000-0002-2128-0190","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103085039","display_name":"Sen Xu","orcid":"https://orcid.org/0000-0002-4522-5460"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Xu","raw_affiliation_strings":["Beijing Jiaotong University, CN"],"raw_orcid":"https://orcid.org/0000-0002-4522-5460","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102907723","display_name":"Wenhu Xu","orcid":"https://orcid.org/0009-0009-3716-0941"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyan Xu","raw_affiliation_strings":["Beijing Jiaotong University, CN"],"raw_orcid":"https://orcid.org/0009-0009-3716-0941","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Beijing Jiaotong University, CN"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9983999729156494,"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":0.998199999332428,"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":0.7602529525756836},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6579210162162781},{"id":"https://openalex.org/keywords/parking-lot","display_name":"Parking lot","score":0.5803715586662292},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5627576112747192},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.49300071597099304},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.45769649744033813},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.44538676738739014},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.438503623008728},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4326087236404419},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.423284113407135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4160900115966797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41166651248931885},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2747810482978821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1972564160823822},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13281753659248352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602529525756836},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6579210162162781},{"id":"https://openalex.org/C2777427512","wikidata":"https://www.wikidata.org/wiki/Q6501349","display_name":"Parking lot","level":2,"score":0.5803715586662292},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5627576112747192},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.49300071597099304},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.45769649744033813},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.44538676738739014},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.438503623008728},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4326087236404419},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.423284113407135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4160900115966797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41166651248931885},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2747810482978821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1972564160823822},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13281753659248352},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3595916.3626436","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3595916.3626436","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626436","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3595916.3626436","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3595916.3626436","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626436","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G5655896502","display_name":null,"funder_award_id":"62120106009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7536822468","display_name":null,"funder_award_id":"U1936212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8521977333","display_name":"\u590d\u6742\u573a\u666f\u4e0b\u89c6\u89c9\u667a\u80fd\u63a2\u6d4b\u53ca\u89e3\u6790\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61972022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390523419.pdf","grobid_xml":"https://content.openalex.org/works/W4390523419.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2126653369","https://openalex.org/W2133026742","https://openalex.org/W2515679514","https://openalex.org/W2887902357","https://openalex.org/W2889463320","https://openalex.org/W2898682908","https://openalex.org/W2963351448","https://openalex.org/W3016100773","https://openalex.org/W3044417735","https://openalex.org/W3118576105","https://openalex.org/W3119069671","https://openalex.org/W3134304825","https://openalex.org/W4225125774","https://openalex.org/W4233894764","https://openalex.org/W4321255792"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Parking":[0],"slot":[1,45,51,57,86,105,144,192],"detection":[2,52,89,101,116,145],"is":[3,94],"an":[4],"essential":[5],"yet":[6],"challenging":[7],"task":[8],"in":[9],"the":[10,22,27,34,37,40,43,62,65,75,95,103,121,129,139,157,162,166,180,209,215,225,231],"field":[11],"of":[12,21,36,42,64,124,161,182,233],"self-driving":[13],"perception.":[14],"During":[15],"parking,":[16],"vehicles":[17],"often":[18],"block":[19],"part":[20],"parking":[23,44,50,56,66,85,104,125,135,143,149,191],"slots":[24,126,150],"which":[25,68,93,137,198],"makes":[26,69],"corners":[28,41,63,204],"occluded.":[29],"In":[30],"addition,":[31],"due":[32],"to":[33,61,72,97,102,127,134,176,208,237],"impact":[35],"external":[38],"environment,":[39],"may":[46],"be":[47],"blurred.":[48],"Existing":[49],"algorithms":[53,146],"based":[54],"on":[55,120,224],"markings":[58],"are":[59],"sensitive":[60],"slots,":[67,136],"it":[70],"difficult":[71],"cope":[73],"with":[74,151,202],"above":[76],"scenario.":[77],"To":[78,154],"address":[79],"this":[80],"problem,":[81],"we":[82,170,186],"propose":[83,171,187],"a":[84,110,172],"entrance":[87,106,122],"line":[88],"algorithm":[90],"called":[91],"RPSED,":[92],"first":[96],"apply":[98],"rotating":[99],"object":[100],"line.":[107],"RPSED":[108],"takes":[109],"different":[111],"route":[112],"from":[113],"traditional":[114],"corner":[115],"methods":[117],"by":[118],"focusing":[119],"lines":[123],"grasp":[128],"intricate":[130],"geometric":[131],"details":[132],"inherent":[133],"solves":[138],"problem":[140],"that":[141],"existing":[142,238],"cannot":[147],"detect":[148],"blurred":[152],"corners.":[153],"further":[155],"improve":[156],"precision":[158],"and":[159,164,178,196,212,220,227],"recall":[160],"model":[163,167,173,216],"make":[165],"more":[168,200,218],"generalizable,":[169],"ensemble":[174],"strategy":[175],"match":[177],"select":[179],"results":[181,223],"multiple":[183],"models.":[184],"Moreover,":[185],"two":[188],"manually":[189],"optimized":[190],"dataset":[193],"named":[194],"RPS2.0":[195,226],"RPSV,":[197],"adds":[199],"annotations":[201],"obstructed":[203],"or":[205],"obscured":[206],"configurations":[207],"datasets":[210],"ps2.0":[211],"psv,":[213],"making":[214],"evaluation":[217],"reasonable":[219],"realistic.":[221],"Experimental":[222],"RPSV":[228],"benchmarks":[229],"demonstrate":[230],"superiority":[232],"our":[234],"approach":[235],"compared":[236],"state-of-the-art":[239],"methods.":[240]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
