{"id":"https://openalex.org/W2024851571","doi":"https://doi.org/10.1109/robio.2013.6739620","title":"Real-time objects recognition and obstacles avoidance for mobile robot","display_name":"Real-time objects recognition and obstacles avoidance for mobile robot","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2024851571","doi":"https://doi.org/10.1109/robio.2013.6739620","mag":"2024851571"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2013.6739620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5063057774","display_name":"Rui Lin","orcid":"https://orcid.org/0000-0001-5823-5687"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Lin","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Soochow University, PR China","Sch. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Soochow University, PR China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Sch. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020521320","display_name":"Maohai Li","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maohai Li","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Soochow University, PR China","Sch. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Soochow University, PR China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Sch. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028713186","display_name":"Lining Sun","orcid":"https://orcid.org/0000-0001-5557-3509"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lining Sun","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Soochow University, PR China","Sch. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Soochow University, PR China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Sch. of Mech. & Electr. Eng., Soochow Univ., Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063057774"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.09740969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7878","issue":null,"first_page":"1157","last_page":"1162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8405280113220215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7936394214630127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7518807649612427},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.7178990244865417},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5507243871688843},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5188913941383362},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.4460003077983856},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4432099461555481},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22869083285331726},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.20778432488441467},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19975689053535461}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8405280113220215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7936394214630127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7518807649612427},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7178990244865417},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5507243871688843},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5188913941383362},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.4460003077983856},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4432099461555481},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22869083285331726},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.20778432488441467},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19975689053535461},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2013.6739620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W92147796","https://openalex.org/W94862489","https://openalex.org/W1484984511","https://openalex.org/W1608462934","https://openalex.org/W1928061289","https://openalex.org/W2024966356","https://openalex.org/W2025219512","https://openalex.org/W2069830673","https://openalex.org/W2072881998","https://openalex.org/W2103120971","https://openalex.org/W2126842639","https://openalex.org/W2151103935","https://openalex.org/W2155583629","https://openalex.org/W2155672337","https://openalex.org/W2157304242","https://openalex.org/W2165824947","https://openalex.org/W2422525485","https://openalex.org/W2536445687","https://openalex.org/W3214102110","https://openalex.org/W6603883016","https://openalex.org/W6656620549","https://openalex.org/W6717011867","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W2362890552","https://openalex.org/W2392642780","https://openalex.org/W1985441784","https://openalex.org/W2378303881","https://openalex.org/W55503292","https://openalex.org/W2380681794","https://openalex.org/W2386107049","https://openalex.org/W3212250818","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"The":[0,41],"paper":[1],"describes":[2],"a":[3],"mobile":[4,31,95,147],"robot":[5,32,96,174],"application":[6],"based":[7,29,137],"on":[8,30],"monocular":[9],"vision":[10,33],"and":[11,38,86,129,161,168],"laser":[12],"that":[13,152],"recognizes":[14],"environment":[15,66],"objects":[16,67,100,119,153],"with":[17,101,170],"capacity":[18],"of":[19,53,65,92,124],"avoiding":[20],"obstacles":[21,144,178],"in":[22,56,68,78,120,180,185],"real":[23,181,187],"time.":[24,133],"Object":[25],"recognition":[26,154],"algorithm":[27,42,138,155],"is":[28,111,139,162],"combining":[34],"adaptive":[35],"appearance":[36],"matching":[37,46],"Kalman":[39,109],"filter.":[40],"can":[43,97,156,175],"adjust":[44],"color":[45,63,71],"threshold":[47],"adaptively":[48],"to":[49,88,117,130,158,166],"reduce":[50,131],"the":[51,57,69,79,83,90,125,186],"influence":[52],"brightness":[54,159],"variations":[55,160],"scene.":[58,188],"First,":[59],"it":[60,74],"carries":[61],"out":[62],"modeling":[64],"YCrCb":[70],"space.":[72],"Then":[73],"detects":[75],"edge":[76],"features":[77],"image":[80,127],"sequence":[81,128],"by":[82],"Sobel":[84],"algorithm,":[85],"thus":[87],"identify":[89],"outlines":[91],"targets.":[93],"Finally":[94],"recognize":[98],"these":[99],"high":[102,171],"empirical":[103],"probability":[104],"under":[105],"some":[106],"prior":[107],"knowledge.":[108],"filter":[110],"used":[112],"as":[113],"our":[114],"prediction":[115],"module":[116],"search":[118],"view":[121],"window":[122],"instead":[123],"whole":[126],"calculation":[132],"A":[134],"virtual":[135],"sub-targets":[136],"also":[140,176],"presented":[141],"for":[142,146],"real-time":[143],"avoidance":[145],"robot.":[148],"Experimental":[149],"results":[150],"show":[151],"adapt":[157],"simple,":[163],"effective,":[164],"easy":[165],"imply":[167],"operates":[169],"efficiency.":[172],"Mobile":[173],"avoid":[177],"smoothly":[179],"time":[182],"while":[183],"navigating":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}