{"id":"https://openalex.org/W4416136961","doi":"https://doi.org/10.1109/ipta66025.2025.11222018","title":"Deep Vision of Mobility for Urban Detection From Street-View Projections","display_name":"Deep Vision of Mobility for Urban Detection From Street-View Projections","publication_year":2025,"publication_date":"2025-10-13","ids":{"openalex":"https://openalex.org/W4416136961","doi":"https://doi.org/10.1109/ipta66025.2025.11222018"},"language":"en","primary_location":{"id":"doi:10.1109/ipta66025.2025.11222018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta66025.2025.11222018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools & Applications (IPTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5120646347","display_name":"Bahad\u0131r Ak\u0131n Akg\u00fcl","orcid":null},"institutions":[{"id":"https://openalex.org/I94294566","display_name":"Galatasaray University","ror":"https://ror.org/00btgsb62","country_code":"TR","type":"education","lineage":["https://openalex.org/I94294566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bahad\u0131r Ak\u0131n Akg\u00fcl","raw_affiliation_strings":["Galatasaray University,Computer Engineering, NLPLAB,Istanbul,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galatasaray University,Computer Engineering, NLPLAB,Istanbul,Turkey","institution_ids":["https://openalex.org/I94294566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046972938","display_name":"\u0130smail Burak Parlak","orcid":"https://orcid.org/0000-0002-0887-4226"},"institutions":[{"id":"https://openalex.org/I94294566","display_name":"Galatasaray University","ror":"https://ror.org/00btgsb62","country_code":"TR","type":"education","lineage":["https://openalex.org/I94294566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u0130smail Burak Parlak","raw_affiliation_strings":["Galatasaray University,Computer Engineering, NLPLAB,Istanbul,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galatasaray University,Computer Engineering, NLPLAB,Istanbul,Turkey","institution_ids":["https://openalex.org/I94294566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102710247","display_name":"Mouloud Adel","orcid":"https://orcid.org/0000-0003-2840-0172"},"institutions":[{"id":"https://openalex.org/I94294566","display_name":"Galatasaray University","ror":"https://ror.org/00btgsb62","country_code":"TR","type":"education","lineage":["https://openalex.org/I94294566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mouloud Adel","raw_affiliation_strings":["Galatasaray University,Computer Engineering, NLPLAB,Istanbul,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galatasaray University,Computer Engineering, NLPLAB,Istanbul,Turkey","institution_ids":["https://openalex.org/I94294566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94294566"],"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.38499999046325684,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.38499999046325684,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.27489998936653137,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.21699999272823334,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5770999789237976},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46799999475479126},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3677999973297119},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.36059999465942383},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.33059999346733093},{"id":"https://openalex.org/keywords/3d-city-models","display_name":"3D city models","score":0.30709999799728394},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.29120001196861267},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.2904999852180481}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6888999938964844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826000213623047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6549999713897705},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C2778597888","wikidata":"https://www.wikidata.org/wiki/Q172169","display_name":"3D city models","level":3,"score":0.30709999799728394},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.29120001196861267},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C2778368647","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban area","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2542000114917755},{"id":"https://openalex.org/C2986162411","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban environment","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C99404194","wikidata":"https://www.wikidata.org/wiki/Q163362","display_name":"Vanishing point","level":3,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipta66025.2025.11222018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta66025.2025.11222018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools & Applications (IPTA)","raw_type":"proceedings-article"},{"id":"pmh:43f8ad1c-2fb5-4694-a363-11b22c23f73e","is_oa":false,"landing_page_url":"https://avesis.gsu.edu.tr/publication/details/43f8ad1c-2fb5-4694-a363-11b22c23f73e/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055142","display_name":"Galatasaray University - AVESIS","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2903691659","https://openalex.org/W2911486422","https://openalex.org/W2962758679","https://openalex.org/W2963037989","https://openalex.org/W2964217532","https://openalex.org/W2981689412","https://openalex.org/W3176287975","https://openalex.org/W4402401451","https://openalex.org/W4413801762","https://openalex.org/W4415795831"],"related_works":[],"abstract_inverted_index":{"Urban":[0],"mobility":[1],"demands":[2],"intelligent":[3],"systems":[4,106],"that":[5,69,121],"can":[6,72],"perceive":[7],"and":[8,37,43,60,80,117],"interpret":[9],"complex":[10],"street":[11],"environments.":[12],"This":[13,110],"study":[14],"presents":[15],"a":[16,100,114,118],"deep":[17],"learning-based,":[18],"vision-only":[19,70],"framework":[20],"for":[21],"traffic":[22],"scene":[23],"understanding,":[24],"relying":[25],"on":[26],"2D":[27],"projections":[28],"from":[29,57,63],"360-degree":[30],"panoramic":[31,125],"imagery.":[32],"Our":[33],"model":[34],"combines":[35],"YOLOv8":[36],"YOLOv10":[38],"to":[39,99],"detect":[40],"roads,":[41],"vehicles,":[42],"pedestrians":[44],"in":[45],"diverse":[46],"urban":[47,75,126],"settings.":[48],"A":[49],"custom":[50],"dataset":[51,116],"of":[52,123],"3,052":[53],"manually":[54],"labeled":[55],"images":[56],"two":[58],"cities\u2014Paris":[59],"Marseille\u2014was":[61],"collected":[62],"Google":[64],"Street":[65],"View.":[66],"Results":[67],"confirm":[68],"models":[71],"accurately":[73],"recognize":[74],"elements":[76],"with":[77,84],"Precision,":[78],"Recall":[79],"mAP":[81],"scores":[82],"competitive":[83],"sensor-rich":[85],"methods.":[86],"While":[87],"some":[88],"limitations":[89],"remain\u2014such":[90],"as":[91],"detecting":[92],"small":[93],"or":[94],"occluded":[95],"pedestrians\u2014the":[96],"findings":[97],"point":[98],"future":[101],"where":[102],"scalable,":[103],"lowcost":[104],"vision":[105],"power":[107],"autonomous":[108],"navigation.":[109],"work":[111],"offers":[112],"both":[113],"novel":[115],"benchmark":[119],"toward":[120],"contribution":[122],"3D":[124],"city":[127],"analysis.":[128]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-10T00:00:00"}