{"id":"https://openalex.org/W2188366353","doi":"https://doi.org/10.1109/icmlc.2015.7340955","title":"Obstacle detection and avoidance via cascade classifier for wheeled mobile robot","display_name":"Obstacle detection and avoidance via cascade classifier for wheeled mobile robot","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2188366353","doi":"https://doi.org/10.1109/icmlc.2015.7340955","mag":"2188366353"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5112322925","display_name":"Chung\u2010Jung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I22442739","display_name":"University of Taipei","ror":"https://ror.org/039e7bg24","country_code":"TW","type":"education","lineage":["https://openalex.org/I22442739"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chung-Jung Lee","raw_affiliation_strings":["Department of Computer Science, University of Taipei, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Taipei, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I22442739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028278525","display_name":"Teng-Hui Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I115980683","display_name":"Oriental Institute of Technology","ror":"https://ror.org/016xz2m71","country_code":"TW","type":"education","lineage":["https://openalex.org/I115980683"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Teng-Hui Tseng","raw_affiliation_strings":["Department of Communication Engineering, Oriental Institute of Technology, New Taipei City, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Oriental Institute of Technology, New Taipei City, Taiwan, ROC","institution_ids":["https://openalex.org/I115980683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002795489","display_name":"Bo-Jhen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I22442739","display_name":"University of Taipei","ror":"https://ror.org/039e7bg24","country_code":"TW","type":"education","lineage":["https://openalex.org/I22442739"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Jhen Huang","raw_affiliation_strings":["Department of Computer Science, University of Taipei, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Taipei, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I22442739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097010915","display_name":"Jun-Weihsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Weihsieh","raw_affiliation_strings":["National Taiwan Ocean University, Keelung, TW"],"affiliations":[{"raw_affiliation_string":"National Taiwan Ocean University, Keelung, TW","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112272795","display_name":"Chun-Ming Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I22442739","display_name":"University of Taipei","ror":"https://ror.org/039e7bg24","country_code":"TW","type":"education","lineage":["https://openalex.org/I22442739"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Ming Tsai","raw_affiliation_strings":["Department of Computer Science, University of Taipei, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Taipei, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I22442739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112322925"],"corresponding_institution_ids":["https://openalex.org/I22442739"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75077887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"403","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991999864578247,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991999864578247,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.992900013923645,"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/T10879","display_name":"Robotic Locomotion and Control","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/mobile-robot","display_name":"Mobile robot","score":0.8427668809890747},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7131365537643433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7002342343330383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.676364004611969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6662075519561768},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.6649564504623413},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6332605481147766},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5186335444450378},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.4927268326282501},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47456008195877075},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.43978989124298096},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.41143667697906494},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2330041527748108},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.10287854075431824},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.08653044700622559}],"concepts":[{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.8427668809890747},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7131365537643433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7002342343330383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.676364004611969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6662075519561768},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.6649564504623413},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6332605481147766},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5186335444450378},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.4927268326282501},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47456008195877075},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.43978989124298096},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.41143667697906494},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2330041527748108},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.10287854075431824},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.08653044700622559},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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":4,"referenced_works":["https://openalex.org/W2008359193","https://openalex.org/W2129050159","https://openalex.org/W2157929363","https://openalex.org/W2164598857"],"related_works":["https://openalex.org/W2149495871","https://openalex.org/W2381032979","https://openalex.org/W2105395632","https://openalex.org/W2394822209","https://openalex.org/W2735268481","https://openalex.org/W2622699562","https://openalex.org/W2391164842","https://openalex.org/W2116510335","https://openalex.org/W2160367227","https://openalex.org/W4234062752"],"abstract_inverted_index":{"A":[0],"cone":[1,10,41,46,56,65,100],"obstacle":[2,47,57],"detection":[3,58],"method":[4,14,94],"is":[5,95],"proposed":[6,13,55,93],"to":[7,38,60,75,82,84,97,112,119,121],"detect":[8,39,98],"the":[9,16,21,26,40,45,49,54,64,80,85,92,99,103,117,122],"obstacle.":[11],"The":[12,67],"uses":[15,53],"Haar":[17],"features":[18],"trained":[19],"by":[20],"Adaboost":[22],"algorithm.":[23],"After":[24],"training,":[25],"cascaded":[27],"classifiers":[28],"are":[29],"produced":[30],"and":[31,78,115],"used":[32],"in":[33],"a":[34,72,109],"wheeled":[35,50,68,104],"mobile":[36,51,69,105],"robot":[37,52,70,106],"obstacles.":[42,101],"To":[43],"apply":[44],"detection,":[48],"algorithm":[59],"simulate":[61],"children":[62],"playing":[63],"maze.":[66],"creates":[71],"twisty":[73,110],"path":[74,111],"move":[76,113],"through":[77,114],"around":[79,116],"cones":[81,118],"go":[83,120],"end":[86,123],"point.":[87,124],"Experimental":[88],"results":[89],"show":[90],"that":[91],"effective":[96],"Furthermore,":[102],"can":[107],"create":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}