{"id":"https://openalex.org/W2790618243","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302064","title":"Inter-vehicle distance detection based on keypoint matching for stereo images","display_name":"Inter-vehicle distance detection based on keypoint matching for stereo images","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2790618243","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302064","mag":"2790618243"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5108785484","display_name":"Yoshihiro Shima","orcid":null},"institutions":[{"id":"https://openalex.org/I63030401","display_name":"Meisei University","ror":"https://ror.org/022yhjq53","country_code":"JP","type":"education","lineage":["https://openalex.org/I63030401"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoshihiro Shima","raw_affiliation_strings":["School of Science and Engineering, Meisei University, Hino, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Meisei University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I63030401"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108785484"],"corresponding_institution_ids":["https://openalex.org/I63030401"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50962711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9984999895095825,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.8136508464813232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8106412887573242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6429810523986816},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6010281443595886},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5797287821769714},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48929092288017273},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48375749588012695},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.44782769680023193},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.4305424690246582},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4114491641521454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33590418100357056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27110716700553894}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8136508464813232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8106412887573242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6429810523986816},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6010281443595886},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5797287821769714},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48929092288017273},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48375749588012695},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.44782769680023193},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.4305424690246582},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4114491641521454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33590418100357056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27110716700553894},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1674505557","https://openalex.org/W1713915947","https://openalex.org/W1908164922","https://openalex.org/W1977948323","https://openalex.org/W2024495812","https://openalex.org/W2119605622","https://openalex.org/W2136767008","https://openalex.org/W2151103935","https://openalex.org/W2162601563","https://openalex.org/W6637401126"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2385118824","https://openalex.org/W2359476137","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2016145238","https://openalex.org/W68787175","https://openalex.org/W2359134215","https://openalex.org/W2343272898","https://openalex.org/W1182131121"],"abstract_inverted_index":{"An":[0],"algorithm":[1,49],"to":[2,19,25],"detect":[3],"car":[4,28,35],"distance":[5,32,39,72],"from":[6,33,59,75],"a":[7,30,60],"pair":[8,63],"of":[9,81],"stereo":[10,61],"images":[11],"is":[12,15,42,50,73],"presented.":[13],"It":[14],"useful":[16],"for":[17],"drivers":[18],"avoid":[20],"collisions":[21],"and":[22],"ensure":[23],"safety":[24],"keep":[26],"the":[27,34,47,79,84],"at":[29,83],"constant":[31],"ahead.":[36],"The":[37,71],"conventional":[38],"detection":[40],"method":[41],"based":[43,51],"on":[44,52],"image":[45,62],"matching;":[46],"proposed":[48],"key-point":[53],"matching.":[54],"Key":[55],"points":[56],"are":[57],"extracted":[58],"by":[64],"using":[65],"Speeded":[66],"Up":[67],"Robust":[68],"Features":[69],"(SURF).":[70],"calculated":[74],"3D":[76],"binocular":[77],"disparity,":[78],"difference":[80],"position":[82],"object.":[85]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}