{"id":"https://openalex.org/W2891597299","doi":null,"title":"Real Time Pedestrian Protection System: Pedestrian Environmental Awareness Detection and Augmented Reality Warning System","display_name":"Real Time Pedestrian Protection System: Pedestrian Environmental Awareness Detection and Augmented Reality Warning System","publication_year":2018,"publication_date":"2018-07-31","ids":{"openalex":"https://openalex.org/W2891597299","mag":"2891597299"},"language":"en","primary_location":{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/145590","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/145590","pdf_url":"https://deepblue.lib.umich.edu/bitstreams/7f76a5e4-4278-4949-8a33-5276def74644/download","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"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":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://deepblue.lib.umich.edu/bitstreams/7f76a5e4-4278-4949-8a33-5276def74644/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054383361","display_name":"Yourui Tong","orcid":"https://orcid.org/0000-0001-8702-8644","observed_orcids":["https://orcid.org/0000-0001-8702-8644"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yourui Tong","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8702-8644","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5054383361"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.6449999809265137,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.6449999809265137,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.09749999642372131,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10888","display_name":"Augmented Reality Applications","score":0.07649999856948853,"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/pedestrian-safety","display_name":"pedestrian safety","score":0.972000002861023},{"id":"https://openalex.org/keywords/vehicle-to-everything-communication","display_name":"vehicle-to-everything communication","score":0.925000011920929},{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"heart rate variability","score":0.9459999799728394},{"id":"https://openalex.org/keywords/mental-state-classification","display_name":"mental state classification","score":0.7360000014305115},{"id":"https://openalex.org/keywords/pedestrian-distraction","display_name":"pedestrian distraction","score":0.5410000085830688},{"id":"https://openalex.org/keywords/perspective-projection","display_name":"perspective projection","score":0.609000027179718},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8560000061988831}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.9051532745361328},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6975487470626831},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.5798423886299133},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5619724988937378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4993479251861572},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.19627726078033447},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.190630704164505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1516934633255005},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1150471568107605}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/145590","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/145590","pdf_url":"https://deepblue.lib.umich.edu/bitstreams/7f76a5e4-4278-4949-8a33-5276def74644/download","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"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":"Thesis"},{"id":"mag:2891597299","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/145590","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Deep Blue (University of Michigan)","raw_type":null}],"best_oa_location":{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/145590","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/145590","pdf_url":"https://deepblue.lib.umich.edu/bitstreams/7f76a5e4-4278-4949-8a33-5276def74644/download","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"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":"Thesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7364000082015991,"display_name":"Sustainable cities and communities"},{"id":"https://metadata.un.org/sdg/3","score":0.6240000128746033,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332921","display_name":"University of Michigan-Dearborn","ror":"https://ror.org/035wtm547"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891597299.pdf","grobid_xml":"https://content.openalex.org/works/W2891597299.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W135919963","https://openalex.org/W562250444","https://openalex.org/W618739381","https://openalex.org/W1496738545","https://openalex.org/W1588195558","https://openalex.org/W1608462934","https://openalex.org/W1964357740","https://openalex.org/W1967269625","https://openalex.org/W1974687042","https://openalex.org/W1986037905","https://openalex.org/W1989989210","https://openalex.org/W1990878541","https://openalex.org/W2004056298","https://openalex.org/W2004705050","https://openalex.org/W2005305331","https://openalex.org/W2008056655","https://openalex.org/W2010737784","https://openalex.org/W2011241895","https://openalex.org/W2016671390","https://openalex.org/W2022621592","https://openalex.org/W2030994931","https://openalex.org/W2031454541","https://openalex.org/W2032977109","https://openalex.org/W2043133488","https://openalex.org/W2061837894","https://openalex.org/W2065277081","https://openalex.org/W2069757512","https://openalex.org/W2083256213","https://openalex.org/W2098317899","https://openalex.org/W2100071734","https://openalex.org/W2105431345","https://openalex.org/W2122464624","https://openalex.org/W2123677674","https://openalex.org/W2133589238","https://openalex.org/W2134258414","https://openalex.org/W2134738818","https://openalex.org/W2146948159","https://openalex.org/W2153008989","https://openalex.org/W2154998641","https://openalex.org/W2155895505","https://openalex.org/W2161969291","https://openalex.org/W2162626411","https://openalex.org/W2163272476","https://openalex.org/W2167695003","https://openalex.org/W2168468928","https://openalex.org/W2168999506","https://openalex.org/W2171647087","https://openalex.org/W2285072859","https://openalex.org/W2292528038","https://openalex.org/W2892604682","https://openalex.org/W2911855166"],"related_works":["https://openalex.org/W2892604682","https://openalex.org/W2355272876","https://openalex.org/W3192724009","https://openalex.org/W2584631157","https://openalex.org/W2922541102","https://openalex.org/W2782662913","https://openalex.org/W2560866930","https://openalex.org/W3009187105","https://openalex.org/W2961021453","https://openalex.org/W4386106772"],"abstract_inverted_index":{"To":[0],"improve":[1],"the":[2,5,29,54,57,67,81,88,95,105,111,114,121,125,136,141,144,152,157,162,166,169,176,183,197,200],"safety":[3],"of":[4,31,86,110,124,168],"pedestrians":[6,58],"via":[7],"V2X":[8],"communications,":[9],"it":[10],"is":[11],"important":[12],"to":[13,21,38,51,56,79,93,103,119,134,194,199],"detect":[14,39,104],"pedestrians'":[15,137],"environmental":[16,25,62],"awareness":[17],"and":[18,73,84,107,113,160,180],"give":[19],"warnings":[20],"those":[22],"with":[23],"low":[24,61],"awareness.":[26,63],"Based":[27],"on":[28,151],"characteristics":[30],"pedestrians,":[32,87,112],"a":[33],"real-time":[34],"algorithm":[35],"was":[36,49,91,101,117,148,173],"developed":[37,50,149],"pedestrians'environmental":[40],"awareness,":[41],"then":[42],"an":[43],"Augmented":[44],"Reality":[45],"(AR)":[46],"warning":[47,55,97,146,189,198],"system":[48,147,190],"carry":[52,195],"out":[53,196],"who":[59],"have":[60],"In":[64],"this":[65],"study,":[66],"heart":[68],"rate":[69],"variability":[70],"(HRV)":[71],"analysis":[72,76,100],"phone":[74,115,122,184],"position":[75,116,185],"were":[77,132],"used":[78,92,102,118,133],"understand":[80],"mental":[82,138,177],"state":[83,171,178],"distractions":[85,123],"projection":[89,154],"method":[90],"develop":[94],"AR":[96,145,188],"system.The":[98],"HRV":[99],"fatigue":[106],"alert":[108],"states":[109],"define":[120],"pedestrians.":[126],"Support":[127],"Vector":[128],"Machines":[129],"(SVM)":[130],"algorithms":[131],"classify":[135],"state.":[139],"After":[140,156],"user":[142],"analysis,":[143],"based":[150],"perspective":[153],"method.":[155],"data":[158],"collection":[159],"experiment,":[161],"results":[163],"show":[164],"that":[165],"accuracy":[167],"pedestrian":[170],"detection":[172,179],"about":[174],"85%for":[175],"100%":[181],"for":[182,193],"detection.":[186],"Also,the":[187],"works":[191],"well":[192],"pedestrian.":[201]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-09-27T00:00:00"}
