{"id":"https://openalex.org/W4395668327","doi":"https://doi.org/10.1145/3625687.3625791","title":"Ghost-Probe: NLOS Pedestrian Rushing Detection with Monocular Camera for Automated Driving","display_name":"Ghost-Probe: NLOS Pedestrian Rushing Detection with Monocular Camera for Automated Driving","publication_year":2023,"publication_date":"2023-11-12","ids":{"openalex":"https://openalex.org/W4395668327","doi":"https://doi.org/10.1145/3625687.3625791"},"language":"en","primary_location":{"id":"doi:10.1145/3625687.3625791","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3625687.3625791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","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/A5061478876","display_name":"Hao Yan","orcid":"https://orcid.org/0009-0003-0195-0446"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Yan","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078406349","display_name":"Feng Lin","orcid":"https://orcid.org/0000-0001-5240-5200"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Lin","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114488807","display_name":"Li Jin","orcid":"https://orcid.org/0009-0009-5596-4740"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437776","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0002-8748-1008"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079908662","display_name":"Zhisheng Yan","orcid":"https://orcid.org/0000-0002-6722-5517"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhisheng Yan","raw_affiliation_strings":["George Mason University, Fairfax, United States of America"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, United States of America","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750565","display_name":"Jian Xiao","orcid":"https://orcid.org/0000-0003-0650-6099"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xiao","raw_affiliation_strings":["Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000596496","display_name":"Kui Ren","orcid":"https://orcid.org/0000-0003-3441-6277"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Ren","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5061478876"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.9594,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84135667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"390","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.996999979019165,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.821729302406311},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7170614004135132},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.702277421951294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6065912842750549},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5843682289123535},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5211610794067383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4831661581993103},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.42714187502861023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17082452774047852},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14389783143997192},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.134284108877182},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.1225939691066742}],"concepts":[{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.821729302406311},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7170614004135132},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.702277421951294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6065912842750549},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5843682289123535},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5211610794067383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4831661581993103},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.42714187502861023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17082452774047852},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14389783143997192},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.134284108877182},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1225939691066742}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625687.3625791","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3625687.3625791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1432573875","https://openalex.org/W1852016712","https://openalex.org/W1998270967","https://openalex.org/W2083364416","https://openalex.org/W2085261163","https://openalex.org/W2103171703","https://openalex.org/W2117228865","https://openalex.org/W2166502676","https://openalex.org/W2252574053","https://openalex.org/W2299392318","https://openalex.org/W2526552653","https://openalex.org/W2560474170","https://openalex.org/W2771617895","https://openalex.org/W2890637916","https://openalex.org/W2895896080","https://openalex.org/W2903118147","https://openalex.org/W2904136631","https://openalex.org/W2913017407","https://openalex.org/W2948670693","https://openalex.org/W2979930345","https://openalex.org/W2999052951","https://openalex.org/W3001774639","https://openalex.org/W3035462037","https://openalex.org/W3086161309","https://openalex.org/W3102699694","https://openalex.org/W3103730686","https://openalex.org/W3108047812","https://openalex.org/W3109065715","https://openalex.org/W3109381875","https://openalex.org/W3147220144","https://openalex.org/W3175028288","https://openalex.org/W3175990321","https://openalex.org/W4200614855","https://openalex.org/W4226136493","https://openalex.org/W4239815525"],"related_works":["https://openalex.org/W2172272784","https://openalex.org/W2003817535","https://openalex.org/W4307436769","https://openalex.org/W4323793210","https://openalex.org/W2366306259","https://openalex.org/W3101720559","https://openalex.org/W2143447014","https://openalex.org/W2218045119","https://openalex.org/W2972620127","https://openalex.org/W2981141433"],"abstract_inverted_index":{"One":[0],"of":[1,108,129,139,153,177],"the":[2,87,99,106,137,143,167,171,182],"most":[3],"serious":[4],"factors":[5],"compromising":[6],"driving":[7,48,148],"safety":[8],"is":[9,123],"when":[10],"people":[11],"in":[12,46,98,146,170],"drivers'":[13],"non-line-of-sight":[14,22,56,172],"areas":[15],"rush":[16],"out":[17,105],"suddenly.":[18],"Existing":[19],"studies":[20],"on":[21,25],"imaging":[23],"rely":[24],"expensive":[26],"equipment":[27],"or":[28],"are":[29],"limited":[30],"to":[31,74,85,125,187],"severe":[32],"laboratory":[33],"conditions":[34],"(e.g.,":[35],"massive":[36],"planar":[37,133],"reflectors":[38],"and":[39,76,120,132,156,180],"controlled":[40],"illumination),":[41],"rendering":[42],"these":[43],"technologies":[44],"inapplicable":[45],"complex":[47],"scenarios.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,114],"propose":[54],"a":[55,81,92,126,151,175,189],"moving":[57,93,168],"obstacle":[58],"detection":[59],"system":[60,69,122,164,184],"Ghost-Probe,":[61],"which":[62],"can":[63,165],"provide":[64],"an":[65],"advanced":[66],"driver":[67],"assistance":[68],"(ADAS)":[70],"with":[71,150],"sufficient":[72],"time":[73],"respond":[75],"stop":[77],"safely.":[78],"We":[79,135],"design":[80],"shadow":[82],"signal":[83],"discriminator":[84],"assess":[86],"weak":[88],"shadows":[89],"created":[90],"by":[91],"obstacle,":[94],"such":[95],"as":[96],"pedestrians":[97],"blind":[100],"area,":[101],"while":[102],"simultaneously":[103],"filtering":[104],"impacts":[107],"other":[109],"complicated":[110],"illumination.":[111],"Note":[112],"that":[113,162],"merely":[115],"use":[116],"commercial":[117],"monocular":[118],"cameras":[119],"our":[121,140,163],"robust":[124],"wide":[127],"range":[128],"lighting":[130,157],"scenarios":[131,149],"reflectors.":[134],"evaluate":[136],"generalizability":[138],"approach":[141],"using":[142],"datasets":[144],"collected":[145],"real-world":[147],"variety":[152],"road":[154],"surface":[155],"circumstances.":[158],"The":[159],"results":[160],"indicate":[161],"detect":[166],"pedestrian":[169],"area":[173],"at":[174],"distance":[176],"20":[178],"meters":[179],"offer":[181],"ADAS":[183],"advance":[185],"warning":[186],"keep":[188],"safe":[190],"distance.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
