{"id":"https://openalex.org/W3023357965","doi":"https://doi.org/10.1145/3293353.3293397","title":"Rash Driving Detection Using a Frontal View Camera in Cars","display_name":"Rash Driving Detection Using a Frontal View Camera in Cars","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W3023357965","doi":"https://doi.org/10.1145/3293353.3293397","mag":"3023357965"},"language":"en","primary_location":{"id":"doi:10.1145/3293353.3293397","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","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/A5045031738","display_name":"Harsh Jain","orcid":"https://orcid.org/0009-0004-5752-3029"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Harsh Jain","raw_affiliation_strings":["Samsung R &amp; D Institute India, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Samsung R &amp; D Institute India, Bangalore, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048147733","display_name":"Chandan Vurdigere Nataraj","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandan Vurdigere Nataraj","raw_affiliation_strings":["Samsung R &amp; D Institute India, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Samsung R &amp; D Institute India, Bangalore, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066864733","display_name":"Dinesh Babu Jayagopi","orcid":"https://orcid.org/0000-0003-0080-452X"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dinesh Babu Jayagopi","raw_affiliation_strings":["International Institute of Information Technology, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045031738"],"corresponding_institution_ids":["https://openalex.org/I4210139030"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36457728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9988999962806702,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/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/rash","display_name":"Rash","score":0.6162562966346741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5461810231208801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4397546350955963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40776631236076355},{"id":"https://openalex.org/keywords/dermatology","display_name":"Dermatology","score":0.1830247938632965},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1245550811290741}],"concepts":[{"id":"https://openalex.org/C2778570526","wikidata":"https://www.wikidata.org/wiki/Q653197","display_name":"Rash","level":2,"score":0.6162562966346741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5461810231208801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4397546350955963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40776631236076355},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.1830247938632965},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1245550811290741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3293353.3293397","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3293353.3293397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1493030347","https://openalex.org/W1966747777","https://openalex.org/W1985802995","https://openalex.org/W2115579991","https://openalex.org/W2137176344","https://openalex.org/W2141896189","https://openalex.org/W2508429489","https://openalex.org/W2557962655","https://openalex.org/W2951433694","https://openalex.org/W4299573783"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W2772917594","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Many":[0],"times":[1],"accidents":[2],"and":[3,12,18,78,94,127,134,163,185],"unusual":[4],"traffic":[5],"congestion":[6],"takes":[7,63],"place":[8],"due":[9],"to":[10,26,187],"careless":[11],"impatient":[13],"driving.":[14],"To":[15,29],"increase":[16],"awareness":[17],"promote":[19],"safe":[20],"driving,":[21],"rash":[22,38,111,118,158,195],"driving":[23,39,65,119,168],"instances":[24,112,129],"needs":[25],"be":[27],"identified.":[28],"accomplish":[30],"this,":[31,82,125],"we":[32,83],"propose":[33],"an":[34,86],"in-car":[35],"visual-analysis":[36],"based":[37],"monitoring":[40],"system":[41],"which":[42,51,62,177],"uses":[43],"frontal-view":[44,64,167],"video.":[45],"This":[46],"work":[47],"combines":[48],"two":[49,71],"components":[50],"were":[52,154,172,178],"trained":[53],"independently.":[54],"First":[55],"component":[56,116,189],"being":[57],"vehicle":[58,74],"motion":[59,75,96,136,170],"detection":[60],"(VMD),":[61],"video":[66,100,133,139],"as":[67,109,181],"input.":[68],"It":[69],"predicts":[70],"most":[72],"important":[73],"parameters":[76,97,137,171],"(forward":[77],"angular":[79],"velocity).":[80],"For":[81,123,160],"have":[84],"adapted":[85],"existing":[87],"architecture":[88],"(proposed":[89],"by":[90],"Zhang":[91],"et":[92],"al.)":[93],"improved":[95],"prediction.":[98],"A":[99],"dataset":[101,140],"has":[102],"been":[103],"collected":[104],"using":[105,174],"android":[106],"smartphone":[107],"(Pilotguru)":[108],"capturing":[110],"was":[113,194],"necessary.":[114],"Second":[115],"is":[117],"instance":[120],"classification":[121],"model.":[122],"training":[124],"Normal":[126],"Rash":[128],"are":[130,143],"identified":[131],"from":[132],"corresponding":[135],"(from":[138],"ground":[141],"truth)":[142],"combined":[144],"in":[145,157],"6":[146,182],"second":[147,188],"sequence":[148],"creating":[149],"a":[150,166],"data-point.":[151],"These":[152],"data-points":[153],"annotated,":[155],"resulting":[156],"dataset.":[159],"System":[161],"validation":[162],"testing,":[164],"given":[165],"video,":[169],"predicted":[173],"first":[175],"component,":[176],"then":[179],"sequenced":[180],"seconds":[183],"clips":[184],"fed":[186],"predicting":[190],"if":[191],"the":[192],"clip":[193],"or":[196],"normal.":[197]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
