{"id":"https://openalex.org/W7141135663","doi":"https://doi.org/10.1109/icce67443.2026.11449621","title":"Assistive Street Crossing: Integrating Object Detection and Multi-Frame Tracking for Visually Impaired Pedestrians","display_name":"Assistive Street Crossing: Integrating Object Detection and Multi-Frame Tracking for Visually Impaired Pedestrians","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141135663","doi":"https://doi.org/10.1109/icce67443.2026.11449621"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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/A5111003854","display_name":"Sophie Hsu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sophie Hsu","raw_affiliation_strings":["Taipei American School,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"Taipei American School,Taipei,Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130738226","display_name":"Kayne Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kayne Yao","raw_affiliation_strings":["Taipei American School,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"Taipei American School,Taipei,Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073351625","display_name":"Phuc Thanh-Thien Nguyen","orcid":"https://orcid.org/0000-0001-5624-2349"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Phuc Thanh-Thien Nguyen","raw_affiliation_strings":["National Taiwan University,Department of Mechanical Engineering,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Mechanical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130814684","display_name":"Chung-Hsien Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Kuo","raw_affiliation_strings":["National Taiwan University,Department of Mechanical Engineering,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Mechanical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111003854"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89088892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.8353000283241272,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.8353000283241272,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.032999999821186066,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.02319999970495701,"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/object-detection","display_name":"Object detection","score":0.5266000032424927},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4862000048160553},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42800000309944153},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.42340001463890076},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.361299991607666},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.34380000829696655},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.31709998846054077}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7261000275611877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6370000243186951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240000128746033},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5266000032424927},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42800000309944153},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.42340001463890076},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.361299991607666},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.34380000829696655},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.31709998846054077},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.27730000019073486},{"id":"https://openalex.org/C3020106864","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Visually impaired","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.25850000977516174},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1991133427","https://openalex.org/W2111983890","https://openalex.org/W2149344111","https://openalex.org/W2526871670","https://openalex.org/W2603203130","https://openalex.org/W2950703532","https://openalex.org/W2973088886","https://openalex.org/W2998947054","https://openalex.org/W3018779742","https://openalex.org/W3080266874","https://openalex.org/W3134395502","https://openalex.org/W3180901291","https://openalex.org/W3201937876","https://openalex.org/W4214634108","https://openalex.org/W4398756379","https://openalex.org/W4401611885","https://openalex.org/W4403126376","https://openalex.org/W4405267590","https://openalex.org/W4411359791"],"related_works":[],"abstract_inverted_index":{"Navigating":[0],"urban":[1],"streets":[2],"remains":[3],"a":[4,61,84],"major":[5],"challenge":[6],"for":[7,141],"visually":[8,142],"impaired":[9,143],"pedestrians":[10],"due":[11],"to":[12,36,94],"vehicle":[13,97],"hazards":[14],"and":[15,33,90,100,119,135],"the":[16,128,133],"absence":[17],"of":[18,137],"reliable":[19],"acoustic":[20],"signals":[21],"from":[22],"traffic":[23,102],"signals.":[24],"Existing":[25],"assistive":[26],"technologies":[27],"mainly":[28],"rely":[29],"on":[30,43],"object":[31,87,147],"detection":[32,45,88,148],"depth":[34,92],"estimation":[35],"improve":[37],"environmental":[38],"awareness;":[39],"however,":[40],"their":[41],"reliance":[42],"single-frame":[44],"can":[46],"result":[47],"in":[48],"unsafe":[49],"guidance":[50],"when":[51],"transient":[52],"errors":[53],"occur.":[54],"To":[55],"address":[56],"this":[57,81],"limitation,":[58],"we":[59],"propose":[60],"perception-to-decision":[62],"framework":[63],"that":[64],"integrates":[65],"temporal":[66,117,150],"tracking":[67,82],"with":[68,83,123,149],"Simple":[69],"Online":[70],"Real-Time":[71],"Tracking":[72],"(SORT)":[73],"enhanced":[74],"by":[75,145],"Kalman":[76],"filtering.":[77],"The":[78],"system":[79,130],"combines":[80],"custom-trained":[85],"YOLOv8":[86],"model":[89],"3D":[91],"sensing":[93],"ensure":[95],"robust":[96],"threat":[98,121],"analysis":[99],"consistent":[101],"light":[103],"recognition.":[104],"Experimental":[105],"results":[106],"show":[107],"real-time":[108],"performance,":[109],"achieving":[110],"95.5%":[111],"average":[112],"crossing":[113,139],"decision":[114],"accuracy":[115],"via":[116],"aggregation":[118],"motion-consistent":[120],"estimation,":[122],"52.1":[124],"ms":[125],"latency.":[126],"Overall,":[127],"proposed":[129],"significantly":[131],"improves":[132],"safety":[134],"reliability":[136],"street":[138],"assistance":[140],"users":[144],"unifying":[146],"tracking.":[151]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}