{"id":"https://openalex.org/W23794177","doi":"https://doi.org/10.2316/journal.206.2009.3.206-3263","title":"FINDING PASSABLE REGIONS FOR ROBOTS FROM A SINGLE STILL IMAGE","display_name":"FINDING PASSABLE REGIONS FOR ROBOTS FROM A SINGLE STILL IMAGE","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W23794177","doi":"https://doi.org/10.2316/journal.206.2009.3.206-3263","mag":"23794177"},"language":"en","primary_location":{"id":"doi:10.2316/journal.206.2009.3.206-3263","doi":"https://doi.org/10.2316/journal.206.2009.3.206-3263","is_oa":false,"landing_page_url":"https://doi.org/10.2316/journal.206.2009.3.206-3263","pdf_url":null,"source":{"id":"https://openalex.org/S74998426","display_name":"International Journal of Robotics and Automation","issn_l":"0826-8185","issn":["0826-8185","1925-7090"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","poland-70","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Robotics and Automation","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5113859521","display_name":"Jingduo Tian","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Tian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"W. Dong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087043990","display_name":"Tang YD","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. Tang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3239,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66172118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.48190000653266907,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.48190000653266907,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.3176000118255615,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.08900000154972076,"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/relative-depth-estimation","display_name":"relative depth estimation","score":0.7879999876022339},{"id":"https://openalex.org/keywords/unstructured-environments","display_name":"unstructured environments","score":0.7940000295639038},{"id":"https://openalex.org/keywords/robot-navigation","display_name":"robot navigation","score":0.5640000104904175}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.694257915019989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345552206039429},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6287765502929688},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6136099100112915},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.526881754398346}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2316/journal.206.2009.3.206-3263","doi":"https://doi.org/10.2316/journal.206.2009.3.206-3263","is_oa":false,"landing_page_url":"https://doi.org/10.2316/journal.206.2009.3.206-3263","pdf_url":null,"source":{"id":"https://openalex.org/S74998426","display_name":"International Journal of Robotics and Automation","issn_l":"0826-8185","issn":["0826-8185","1925-7090"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","poland-70","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Robotics and Automation","raw_type":"journal-article"},{"id":"pmh:oai:ir.sia.cn/:173321/7353","doi":null,"is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/7353","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tian JD,Dong W,Tang YD. Finding passable regions for robots from a single still image[J]. International Journal of Robotics &amp;amp; Automation,2009,24(3):228-234.","raw_type":"\u671f\u520a\u8bba\u6587"},{"id":"mag:2462386692","doi":null,"is_oa":false,"landing_page_url":"http://www.irgrid.ac.cn/handle/1471x/442995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2610859226","https://openalex.org/W3133935485","https://openalex.org/W3081469330","https://openalex.org/W2561687851","https://openalex.org/W2906090471","https://openalex.org/W2942658132","https://openalex.org/W2010693568","https://openalex.org/W2128643429","https://openalex.org/W2203890703","https://openalex.org/W7160351440"],"abstract_inverted_index":{"Vision-guided":[0],"obstacle":[1],"avoidance,":[2],"especially":[3],"in":[4,11,31,52],"unstructured":[5],"environments,":[6],"is":[7,45],"a":[8,16,32],"challenging":[9],"issue":[10],"robotics.":[12],"The":[13,64],"paper":[14],"proposes":[15],"biological":[17],"inspired":[18],"method":[19,65,80],"to":[20,47],"find":[21],"passable":[22,50],"regions":[23,51],"based":[24],"on":[25,81],"the":[26,38,49,60],"estimation":[27],"of":[28,84],"relative":[29],"depth":[30],"single":[33],"still":[34],"colour":[35],"image.":[36],"In":[37],"method,":[39],"Multiple-layer":[40],"In-place":[41],"Learning":[42],"Network":[43],"(MILN)":[44],"applied":[46],"learn":[48],"images,":[53],"choosing":[54],"several":[55],"depth-related":[56],"features":[57],"extracted":[58],"from":[59],"images":[61,83],"as":[62],"inputs.":[63],"proposed":[66],"here":[67],"does":[68],"not":[69],"need":[70],"any":[71],"special":[72],"prior":[73],"knowledge":[74],"or":[75],"assumptions.":[76],"We":[77],"test":[78],"our":[79,90],"practical":[82],"different":[85],"scenes.":[86],"Experimental":[87],"results":[88],"validate":[89],"method.":[91]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}
