{"id":"https://openalex.org/W2536640360","doi":"https://doi.org/10.3390/s16101721","title":"Generic Dynamic Environment Perception Using Smart Mobile Devices","display_name":"Generic Dynamic Environment Perception Using Smart Mobile Devices","publication_year":2016,"publication_date":"2016-10-17","ids":{"openalex":"https://openalex.org/W2536640360","doi":"https://doi.org/10.3390/s16101721","mag":"2536640360","pmid":"https://pubmed.ncbi.nlm.nih.gov/27763501"},"language":"en","primary_location":{"id":"doi:10.3390/s16101721","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101721","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1721/pdf?version=1476689569","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/16/10/1721/pdf?version=1476689569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014747694","display_name":"Radu D\u0103nescu","orcid":"https://orcid.org/0000-0002-4515-8114"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Radu Danescu","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania"],"raw_orcid":"https://orcid.org/0000-0002-4515-8114","affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078073621","display_name":"Razvan Itu","orcid":"https://orcid.org/0000-0001-8156-7313"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Razvan Itu","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania"],"raw_orcid":"https://orcid.org/0000-0001-8156-7313","affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077794784","display_name":"Andra Petrovai","orcid":"https://orcid.org/0000-0002-4036-6336"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Andra Petrovai","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014747694"],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.0516,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81729871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"10","first_page":"1721","last_page":"1721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.8115973472595215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6649137139320374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6630268096923828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6183576583862305},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.593888521194458},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5468941330909729},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5222345590591431},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.45899608731269836},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4338107109069824},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.42785680294036865},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.4119282364845276},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4105612635612488},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3043442964553833},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.09054327011108398}],"concepts":[{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.8115973472595215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6649137139320374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6630268096923828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6183576583862305},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.593888521194458},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5468941330909729},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5222345590591431},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.45899608731269836},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4338107109069824},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.42785680294036865},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.4119282364845276},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4105612635612488},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3043442964553833},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.09054327011108398},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s16101721","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101721","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1721/pdf?version=1476689569","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:27763501","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27763501","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:82a0ea3a6269452ebd4563d1572259e6","is_oa":true,"landing_page_url":"https://doaj.org/article/82a0ea3a6269452ebd4563d1572259e6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 16, Iss 10, p 1721 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/16/10/1721/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s16101721","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 16; Issue 10; Pages: 1721","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5087508","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5087508","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s16101721","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s16101721","pdf_url":"https://www.mdpi.com/1424-8220/16/10/1721/pdf?version=1476689569","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2536640360.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1920166271","https://openalex.org/W1968227650","https://openalex.org/W2011604511","https://openalex.org/W2043683192","https://openalex.org/W2066711719","https://openalex.org/W2095469424","https://openalex.org/W2108945645","https://openalex.org/W2123848418","https://openalex.org/W2136929315","https://openalex.org/W2138273245","https://openalex.org/W2142405531","https://openalex.org/W2145951052","https://openalex.org/W2161406034","https://openalex.org/W2165065922"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2782776446","https://openalex.org/W3043170174","https://openalex.org/W2155948905","https://openalex.org/W2357323510"],"abstract_inverted_index":{"The":[0,173,191],"driving":[1,78],"environment":[2],"is":[3,13,46,197,211],"complex":[4],"and":[5,7,24,34,51,63,94,101,152,189,207],"dynamic,":[6,121],"the":[8,11,37,55,65,127,129,140,149,154,170],"attention":[9],"of":[10,39,59,70,98,126],"driver":[12],"continuously":[14],"challenged,":[15],"therefore":[16],"computer":[17],"based":[18,118,131],"assistance":[19,79],"achieved":[20],"by":[21,147],"processing":[22],"image":[23,158],"sensor":[25],"data":[26,42],"may":[27],"increase":[28],"traffic":[29],"safety.":[30],"While":[31],"active":[32],"sensors":[33],"stereovision":[35,215],"have":[36],"advantage":[38],"obtaining":[40],"3D":[41,124],"directly,":[43],"monocular":[44],"vision":[45],"easy":[47,192],"to":[48,159,168,193,199,213],"set":[49,194],"up,":[50],"can":[52],"benefit":[53],"from":[54,64,139],"increasing":[56],"computational":[57],"power":[58],"smart":[60,141],"mobile":[61,84,116,142],"devices,":[62,85,117],"fact":[66],"that":[67],"almost":[68],"all":[69],"them":[71],"come":[72],"with":[73],"an":[74],"embedded":[75],"camera.":[76],"Several":[77],"application":[80],"are":[81,88,145,165,178],"available":[82],"for":[83,91,108,115],"but":[86],"they":[87],"mostly":[89],"targeted":[90],"simple":[92],"scenarios":[93],"a":[95,106,120,214],"limited":[96],"range":[97],"obstacle":[99,113,162],"shapes":[100],"poses.":[102],"This":[103],"paper":[104],"presents":[105],"technique":[107],"generic,":[109],"shape":[110],"independent":[111],"real-time":[112],"detection":[114],"on":[119],"free":[122],"form":[123],"representation":[125],"environment:":[128],"particle":[130],"occupancy":[132,171,174],"grid.":[133,172],"Images":[134],"acquired":[135],"in":[136,204],"real":[137],"time":[138],"device's":[143],"camera":[144],"processed":[146],"removing":[148],"perspective":[150],"effect":[151],"segmenting":[153],"resulted":[155],"bird-eye":[156],"view":[157],"identify":[160],"candidate":[161],"areas,":[163],"which":[164],"then":[166],"used":[167],"update":[169],"grid":[175],"tracked":[176],"cells":[177],"grouped":[179],"into":[180],"obstacles":[181,203],"depicted":[182],"as":[183],"cuboids":[184],"having":[185],"position,":[186],"size,":[187],"orientation":[188],"speed.":[190],"up":[195],"system":[196],"able":[198],"reliably":[200],"detect":[201],"most":[202],"urban":[205],"traffic,":[206],"its":[208],"measurement":[209],"accuracy":[210],"comparable":[212],"system.":[216]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
