{"id":"https://openalex.org/W2729862002","doi":"https://doi.org/10.1109/sahcn.2017.7964930","title":"PreSight: Enabling Real-Time Detection of Accessibility Problems on Sidewalks","display_name":"PreSight: Enabling Real-Time Detection of Accessibility Problems on Sidewalks","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2729862002","doi":"https://doi.org/10.1109/sahcn.2017.7964930","mag":"2729862002"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2017.7964930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2017.7964930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5100600006","display_name":"Li Zheng","orcid":"https://orcid.org/0000-0002-6100-2443"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zheng Li","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103760007","display_name":"Mahbubur Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahbubur Rahman","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034204308","display_name":"Ryan Robucci","orcid":"https://orcid.org/0000-0002-3638-1736"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Robucci","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012819177","display_name":"Nilanjan Banerjee","orcid":"https://orcid.org/0000-0003-4466-0898"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nilanjan Banerjee","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100600006"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.4403,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60362183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9997000098228455,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9918000102043152,"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/T12546","display_name":"Smart Parking Systems Research","score":0.991100013256073,"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":0.8670914769172668},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7803544998168945},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7525116205215454},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5981788039207458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.581713855266571},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5587283968925476},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.5360615253448486},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5284357666969299},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5277503132820129},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5211517810821533},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5147021412849426},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.46634310483932495},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4454897344112396},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.44405311346054077},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4278775751590729},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4030493497848511},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.18171611428260803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.16935330629348755},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1364484429359436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8670914769172668},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7803544998168945},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7525116205215454},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5981788039207458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.581713855266571},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5587283968925476},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5360615253448486},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5284357666969299},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5277503132820129},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5211517810821533},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5147021412849426},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.46634310483932495},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4454897344112396},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.44405311346054077},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4278775751590729},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4030493497848511},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.18171611428260803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16935330629348755},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1364484429359436},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sahcn.2017.7964930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2017.7964930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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":26,"referenced_works":["https://openalex.org/W1518046314","https://openalex.org/W1547230230","https://openalex.org/W1962389200","https://openalex.org/W2030031014","https://openalex.org/W2033118251","https://openalex.org/W2033626194","https://openalex.org/W2042243448","https://openalex.org/W2060964919","https://openalex.org/W2062705038","https://openalex.org/W2070248097","https://openalex.org/W2071538753","https://openalex.org/W2074091263","https://openalex.org/W2078883237","https://openalex.org/W2082208153","https://openalex.org/W2090048052","https://openalex.org/W2091985678","https://openalex.org/W2120436369","https://openalex.org/W2130931342","https://openalex.org/W2144764737","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2168765606","https://openalex.org/W2492216200","https://openalex.org/W2963037989","https://openalex.org/W4249254455","https://openalex.org/W6628973269"],"related_works":["https://openalex.org/W3204852000","https://openalex.org/W2903682969","https://openalex.org/W2096042813","https://openalex.org/W2096901180","https://openalex.org/W2080594779","https://openalex.org/W2364171767","https://openalex.org/W2181570714","https://openalex.org/W2350301461","https://openalex.org/W2765813512","https://openalex.org/W3009637957"],"abstract_inverted_index":{"Accessibility":[0],"problems":[1,18],"such":[2],"as":[3],"obstacles":[4],"on":[5,35,59,131,163],"sidewalks":[6],"can":[7,179],"make":[8],"navigation":[9],"dangerous":[10],"for":[11,31,55,91],"the":[12,76,89,102,141,176,187],"visually":[13],"impaired.":[14],"Detecting":[15],"these":[16],"accessibility":[17,135],"using":[19,81,152],"embedded":[20,60,164],"cameras":[21],"is":[22],"a":[23,43,49,116,145],"plausible":[24],"remedy.":[25],"However,":[26],"current":[27],"computer":[28,124],"vision":[29,78,125],"algorithms":[30,128],"object":[32,57,126,161,170],"detection":[33,58,106,127,162,171,177],"rely":[34],"exhaustive":[36],"search":[37],"with":[38,129,186],"high-dimensional":[39],"features":[40,83],"that":[41,175],"present":[42],"heavy":[44],"computational":[45],"burden":[46],"and":[47,112,154],"incur":[48],"long":[50],"latency,":[51],"making":[52],"them":[53],"non-ideal":[54],"real-time":[56],"platforms.":[61,165],"To":[62],"address":[63],"this":[64,156],"problem,":[65],"inspired":[66],"by":[67,80,99,182],"prior-based":[68],"searching":[69],"schemes":[70],"from":[71,104],"human":[72],"vision,":[73],"we":[74,173],"accelerate":[75,122],"machine":[77],"process":[79,142],"scene-specific":[82],"to":[84,107,121,159],"select":[85],"candidate":[86],"regions":[87],"in":[88],"view":[90],"further":[92],"processing.":[93],"Our":[94,137],"system,":[95],"{\\hav}":[96],"achieves":[97],"speedup":[98,160],"trading":[100],"off":[101],"workload":[103],"on-line":[105],"off-line":[108],"prior":[109,157],"data":[110],"collection":[111],"extraction.":[113],"We":[114],"demonstrate":[115,174],"complete,":[117],"scalable":[118],"PreSight":[119],"prototype":[120,138],"general":[123],"focus":[130],"detecting":[132],"of":[133,143,149,189],"sidewalk":[134],"problems.":[136],"system":[139],"automates":[140],"creating":[144],"geo-":[146],"tagged":[147],"database":[148],"object-specific":[150],"priors":[151],"crowdsourcing":[153],"utilizes":[155],"knowledge":[158],"Evaluating":[166],"under":[167],"two":[168],"benchmark":[169],"algorithms,":[172],"latency":[178],"be":[180],"reduced":[181],"around":[183],"8":[184],"times":[185],"aid":[188],"PreSight.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
