{"id":"https://openalex.org/W1592820253","doi":"https://doi.org/10.1109/icassp.2015.7178216","title":"Forward stereo obstacle detection with Weighted Hough Transform and local temporal correlation","display_name":"Forward stereo obstacle detection with Weighted Hough Transform and local temporal correlation","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1592820253","doi":"https://doi.org/10.1109/icassp.2015.7178216","mag":"1592820253"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101556960","display_name":"Feng Guo","orcid":"https://orcid.org/0000-0001-8131-9301"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Guo","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University","[School of Information Science and Engineering, Xiamen University, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[School of Information Science and Engineering, Xiamen University, China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077183319","display_name":"Ling Cai","orcid":"https://orcid.org/0000-0001-7106-4907"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Cai","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University","[School of Information Science and Engineering, Xiamen University, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[School of Information Science and Engineering, Xiamen University, China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021830578","display_name":"Ying Lin","orcid":"https://orcid.org/0000-0002-2270-272X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Lin","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University","[School of Information Science and Engineering, Xiamen University, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[School of Information Science and Engineering, Xiamen University, China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University","[School of Information Science and Engineering, Xiamen University, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[School of Information Science and Engineering, Xiamen University, China]","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1478","last_page":"1482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983000159263611,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7492626309394836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7254334688186646},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7106590867042542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640251100063324},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5973588228225708},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5396760702133179},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5129885077476501},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43503057956695557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3968474566936493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28873342275619507},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14233720302581787}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7492626309394836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7254334688186646},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7106590867042542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640251100063324},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5973588228225708},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5396760702133179},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5129885077476501},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43503057956695557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3968474566936493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28873342275619507},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14233720302581787},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1924453835","https://openalex.org/W2001841350","https://openalex.org/W2030525099","https://openalex.org/W2068783562","https://openalex.org/W2104241941","https://openalex.org/W2106300334","https://openalex.org/W2112921976","https://openalex.org/W2115579991","https://openalex.org/W2128880924","https://openalex.org/W2129139615","https://openalex.org/W2142238328","https://openalex.org/W2150066425","https://openalex.org/W2159132531","https://openalex.org/W2161337244","https://openalex.org/W2167222293","https://openalex.org/W6676758771"],"related_works":["https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W2891167363"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,47,62],"propose":[4,48],"a":[5],"robust":[6],"obstacle":[7],"detection":[8],"approach":[9],"by":[10,83],"leveraging":[11],"Weighted":[12],"Hough":[13],"Transform":[14],"(WHT)":[15],"in":[16,35,72],"combination":[17],"with":[18,91],"temporal":[19,65],"information":[20],"correlation":[21,66],"from":[22,43,57],"the":[23,30,36,54,58,64,68,78,86,96,99],"stereo":[24,73],"video":[25,74],"sequences.":[26],"First,":[27],"to":[28,49,52,76,93],"model":[29,82],"road":[31,69,80],"surface":[32,70,81],"or":[33],"obstacles":[34],"video,":[37],"rather":[38],"than":[39],"using":[40],"simple":[41],"threshold":[42],"binarized":[44],"frame":[45],"sequence,":[46],"adopt":[50],"WHT":[51],"extract":[53],"linear":[55],"relation":[56],"v-disparity":[59],"map.":[60],"Second,":[61],"exploit":[63],"of":[67,98],"profile":[71],"sequences":[75],"produce":[77],"stable":[79],"filtering":[84],"out":[85],"unreliable":[87],"road.":[88],"Extensive":[89],"experiments":[90],"comparisons":[92],"state-of-the-arts":[94],"demonstrate":[95],"merit":[97],"proposed":[100],"approach.":[101]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}