{"id":"https://openalex.org/W4400351521","doi":"https://doi.org/10.1109/smartnets61466.2024.10577678","title":"An Object-Based Detection Approach for Automating City Accessibility Constraints Mapping","display_name":"An Object-Based Detection Approach for Automating City Accessibility Constraints Mapping","publication_year":2024,"publication_date":"2024-05-28","ids":{"openalex":"https://openalex.org/W4400351521","doi":"https://doi.org/10.1109/smartnets61466.2024.10577678"},"language":"en","primary_location":{"id":"doi:10.1109/smartnets61466.2024.10577678","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smartnets61466.2024.10577678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Smart Applications, Communications and Networking (SmartNets)","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/A5100022194","display_name":"S\u00e9rgio Moita","orcid":null},"institutions":[{"id":"https://openalex.org/I83863532","display_name":"Polytechnic Institute of Porto","ror":"https://ror.org/04988re48","country_code":"PT","type":"education","lineage":["https://openalex.org/I83863532"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"S\u00e9rgio Moita","raw_affiliation_strings":["LIACC Pole, FCT/UFP and ISEP/IPP,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"LIACC Pole, FCT/UFP and ISEP/IPP,Porto,Portugal","institution_ids":["https://openalex.org/I83863532"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088360662","display_name":"Rui S. Moreira","orcid":"https://orcid.org/0000-0002-4123-0983"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui S. Moreira","raw_affiliation_strings":["LIACC Pole, FCT/UFP,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"LIACC Pole, FCT/UFP,Porto,Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078061043","display_name":"Feliz Ribeiro Gouveia","orcid":"https://orcid.org/0000-0001-7308-4522"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feliz Gouveia","raw_affiliation_strings":["LIACC Pole, FCT/UFP,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"LIACC Pole, FCT/UFP,Porto,Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015598520","display_name":"Jos\u00e9 Manuel Torres","orcid":"https://orcid.org/0000-0002-8280-1324"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 M. Torres","raw_affiliation_strings":["LIACC Pole, FCT/UFP,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"LIACC Pole, FCT/UFP,Porto,Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100022195","display_name":"Maria Simas Gerreiro","orcid":null},"institutions":[{"id":"https://openalex.org/I157071867","display_name":"Fernando Pessoa University","ror":"https://ror.org/04h8e7606","country_code":"PT","type":"education","lineage":["https://openalex.org/I157071867"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Maria Simas Gerreiro","raw_affiliation_strings":["FCT, UFP,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"FCT, UFP,Porto,Portugal","institution_ids":["https://openalex.org/I157071867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008739826","display_name":"Diogo Ferreira","orcid":"https://orcid.org/0000-0002-2765-0586"},"institutions":[{"id":"https://openalex.org/I157071867","display_name":"Fernando Pessoa University","ror":"https://ror.org/04h8e7606","country_code":"PT","type":"education","lineage":["https://openalex.org/I157071867"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Diogo Ferreira","raw_affiliation_strings":["FCT, UFP,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"FCT, UFP,Porto,Portugal","institution_ids":["https://openalex.org/I157071867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034882457","display_name":"Sara Sucena-Garcia","orcid":"https://orcid.org/0000-0002-0989-0877"},"institutions":[{"id":"https://openalex.org/I157071867","display_name":"Fernando Pessoa University","ror":"https://ror.org/04h8e7606","country_code":"PT","type":"education","lineage":["https://openalex.org/I157071867"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Sara Sucena","raw_affiliation_strings":["FCT, UFP,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"FCT, UFP,Porto,Portugal","institution_ids":["https://openalex.org/I157071867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000738361","display_name":"Maria Alzira Pimenta Dinis","orcid":"https://orcid.org/0000-0002-2198-6740"},"institutions":[{"id":"https://openalex.org/I157071867","display_name":"Fernando Pessoa University","ror":"https://ror.org/04h8e7606","country_code":"PT","type":"education","lineage":["https://openalex.org/I157071867"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Maria Alzira Dinis","raw_affiliation_strings":["FCT, UFP,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"FCT, UFP,Porto,Portugal","institution_ids":["https://openalex.org/I157071867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100022194"],"corresponding_institution_ids":["https://openalex.org/I83863532"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10329555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"215","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8562999963760376,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8562999963760376,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.8510000109672546,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.8452000021934509,"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":0.7380319833755493},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45736441016197205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32902950048446655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7380319833755493},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45736441016197205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32902950048446655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartnets61466.2024.10577678","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smartnets61466.2024.10577678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Smart Applications, Communications and Networking (SmartNets)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2040851354","https://openalex.org/W2194775991","https://openalex.org/W2618530766","https://openalex.org/W2799433533","https://openalex.org/W2900510798","https://openalex.org/W2918956229","https://openalex.org/W2941798514","https://openalex.org/W2963037989","https://openalex.org/W2982243661","https://openalex.org/W3131915368","https://openalex.org/W3160732337","https://openalex.org/W3160915774","https://openalex.org/W3195494505","https://openalex.org/W4239810616","https://openalex.org/W4281850512","https://openalex.org/W4307136622","https://openalex.org/W6750724988"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"There":[0],"is":[1,69],"a":[2,134,163,216,247,276,303],"widespread":[3],"social":[4],"awareness":[5],"for":[6,31,38,49,77],"the":[7,23,45,51,65,79,100,111,160,201,204,225,266,281,290,299],"need":[8,56],"of":[9,25,47,53,57,81,102,113,162,193,203,240,255,279],"adequate":[10],"accessibility":[11,58,82,104,122,151,197,318],"(e.g.":[12],"missing":[13],"ramps":[14],"at":[15,20,153],"crosswalks,":[16],"obstacles":[17],"and":[18,27,137,158,187,207,223,232,242,264,307],"potholes":[19],"sidewalks)":[21],"in":[22,55,84,182,320],"planning":[24,39],"safe":[26],"inclusive":[28],"city":[29,146],"spaces":[30,41],"all":[32],"citizens.":[33],"Therefore,":[34],"municipal":[35],"authorities":[36],"responsible":[37],"urban":[40],"could":[42],"benefit":[43],"from":[44,251],"use":[46,72,112,202],"tools":[48],"automating":[50,78,316],"identification":[52],"areas":[54,254],"improving":[59],"interventions.":[60],"This":[61],"paper":[62],"builds":[63],"on":[64,88,94,110,117,189,315],"assumption":[66],"that":[67,132,272],"it":[68,141],"possible":[70],"to":[71,98,148,220,261],"Machine":[73],"Learning":[74,96],"(ML)":[75],"pipelines":[76,91],"detection":[80,101],"constraints":[83],"public":[85],"spaces,":[86],"particularly":[87],"sidewalks.":[89],"Those":[90],"rely":[92,109],"mostly":[93],"Deep":[95],"algorithms":[97],"automate":[99],"common":[103],"issues.":[105],"Current":[106],"literature":[107],"approaches":[108],"traditional":[114,174],"classifiers":[115],"focused":[116],"images'":[118],"datasets":[119,192],"containing":[120],"single-labelled":[121],"classes.":[123],"We":[124],"propose":[125],"an":[126],"alternative":[127],"approach":[128,301],"using":[129],"object-detection":[130,227],"models":[131,180],"provide":[133],"more":[135,164,173,304],"generic":[136,165,306],"human-like":[138,305],"mode,":[139],"as":[140],"will":[142],"look":[143],"into":[144],"wider":[145],"pictures":[147],"spot":[149],"multiple":[150],"problems":[152],"once.":[154],"Hence,":[155],"we":[156,214],"evaluate":[157],"compare":[159],"results":[161,170,270],"YOLO":[166,226,267,283,300],"model":[167],"against":[168,289],"previous":[169],"obtained":[171,292],"by":[172,293],"ResNet":[175,179],"classification":[176],"models.":[177],"The":[178,269],"used":[181,219,260],"Project":[183,205],"Sidewalk":[184,206],"were":[185],"trained":[186],"tested":[188],"per-city":[190,296],"basis":[191],"images":[194],"crowd-labeled":[195],"with":[196,275],"attributes.":[198],"By":[199],"combining":[200],"Google":[208],"Street":[209],"View":[210],"(GSV)":[211],"service":[212],"APls,":[213],"re-assembled":[215],"world-cities-mix":[217],"dataset":[218,250,278],"train,":[221],"validate":[222],"test":[224,265],"model,":[228,284],"which":[229,258],"exhibited":[230],"precision":[231,287],"recall":[233],"values":[234,288],"above":[235],"84":[236],"%.":[237],"Our":[238],"team":[239],"architects":[241],"civil":[243],"engineers":[244],"also":[245],"collected":[246],"labeled":[248],"image":[249],"two":[252],"central":[253],"Porto":[256],"city,":[257],"was":[259],"jointly":[262],"train":[263],"model.":[268],"show":[271],"training":[273],"(even":[274],"small":[277],"Porto)":[280],"cities-mix-trained":[282],"provides":[285],"comparable":[286],"ones":[291],"ResN":[294],"et":[295],"classifiers.":[297],"Furthermore,":[298],"offers":[302],"efficient":[308],"pipeline,":[309],"thus":[310],"justifying":[311],"its":[312],"future":[313],"exploitation":[314],"cataloging":[317],"mappings":[319],"cities.":[321]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
