{"id":"https://openalex.org/W4221041915","doi":"https://doi.org/10.1007/s11370-022-00416-8","title":"Auto-splitting D* lite path planning for large disaster area","display_name":"Auto-splitting D* lite path planning for large disaster area","publication_year":2022,"publication_date":"2022-03-16","ids":{"openalex":"https://openalex.org/W4221041915","doi":"https://doi.org/10.1007/s11370-022-00416-8"},"language":"en","primary_location":{"id":"doi:10.1007/s11370-022-00416-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11370-022-00416-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11370-022-00416-8.pdf","source":{"id":"https://openalex.org/S145649206","display_name":"Intelligent Service Robotics","issn_l":"1861-2776","issn":["1861-2776","1861-2784"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Service Robotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11370-022-00416-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055762469","display_name":"Shin nyeong Heo","orcid":"https://orcid.org/0000-0002-1362-8441"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shin-nyeong Heo","raw_affiliation_strings":["Graduate school of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka, 808-0135, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1362-8441","affiliations":[{"raw_affiliation_string":"Graduate school of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka, 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067651647","display_name":"Jiaheng Chen","orcid":"https://orcid.org/0000-0001-9720-8366"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiaheng Chen","raw_affiliation_strings":["Graduate school of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka, 808-0135, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate school of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka, 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065178660","display_name":"Yu-chi Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu-chi Liao","raw_affiliation_strings":["Graduate school of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka, 808-0135, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate school of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka, 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089598515","display_name":"Hee\u2010Hyol Lee","orcid":"https://orcid.org/0009-0008-3355-1657"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hee-hyol Lee","raw_affiliation_strings":["Graduate school of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka, 808-0135, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate school of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka, 808-0135, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055762469"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.1429,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88528993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"3","first_page":"289","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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":1.0,"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":0.9987000226974487,"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/T12288","display_name":"Optimization and Search Problems","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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-science","display_name":"Computer science","score":0.8787494897842407},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6991250514984131},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6203523278236389},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.593605101108551},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.590284526348114},{"id":"https://openalex.org/keywords/disaster-area","display_name":"Disaster area","score":0.4884106516838074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3371715545654297},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3348791301250458},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09754124283790588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8787494897842407},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6991250514984131},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6203523278236389},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.593605101108551},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.590284526348114},{"id":"https://openalex.org/C2779481623","wikidata":"https://www.wikidata.org/wiki/Q4115986","display_name":"Disaster area","level":2,"score":0.4884106516838074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3371715545654297},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3348791301250458},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09754124283790588},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11370-022-00416-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11370-022-00416-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11370-022-00416-8.pdf","source":{"id":"https://openalex.org/S145649206","display_name":"Intelligent Service Robotics","issn_l":"1861-2776","issn":["1861-2776","1861-2784"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Service Robotics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11370-022-00416-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11370-022-00416-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11370-022-00416-8.pdf","source":{"id":"https://openalex.org/S145649206","display_name":"Intelligent Service Robotics","issn_l":"1861-2776","issn":["1861-2776","1861-2784"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Service Robotics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221041915.pdf","grobid_xml":"https://content.openalex.org/works/W4221041915.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1964443764","https://openalex.org/W1967492795","https://openalex.org/W2003708116","https://openalex.org/W2012255713","https://openalex.org/W2016820997","https://openalex.org/W2018114227","https://openalex.org/W2026360870","https://openalex.org/W2037069310","https://openalex.org/W2037351086","https://openalex.org/W2053407718","https://openalex.org/W2071949631","https://openalex.org/W2075956742","https://openalex.org/W2110588976","https://openalex.org/W2112271657","https://openalex.org/W2123513914","https://openalex.org/W2129209579","https://openalex.org/W2135076825","https://openalex.org/W2141245797","https://openalex.org/W2141664020","https://openalex.org/W2169528473","https://openalex.org/W2263202512","https://openalex.org/W2294879632","https://openalex.org/W2324238275","https://openalex.org/W2620253406","https://openalex.org/W2623660146","https://openalex.org/W2735603972","https://openalex.org/W2740924709","https://openalex.org/W2771675308","https://openalex.org/W2793714446","https://openalex.org/W2793998795","https://openalex.org/W2964069458","https://openalex.org/W2997061791","https://openalex.org/W3011646207","https://openalex.org/W3018311626","https://openalex.org/W3108980537","https://openalex.org/W3111308533","https://openalex.org/W4253426709"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1987886368","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3197207153"],"abstract_inverted_index":{"Abstract":[0],"This":[1,60],"research":[2],"introduces":[3],"a":[4,13,26,63,79,90,122],"new":[5],"path":[6,30],"planning":[7,31],"method":[8,64],"for":[9],"rescue":[10,34],"robots":[11,21,35],"in":[12,25,38,112],"dynamic":[14,40,72,114],"and":[15,73,115],"partially":[16,74,116],"known":[17,75,117],"area":[18,41,118],"when":[19],"the":[20,33,39,46,53,56,71,100,103,113],"are":[22,52],"performing":[23],"tasks":[24],"large":[27],"area.":[28],"The":[29],"of":[32,48,55,70,102,109],"that":[36],"move":[37],"is":[42,86,119],"introduced":[43,120],"to":[44,65,88,98],"solve":[45],"issue":[47],"unnecessary":[49,67],"areas,":[50],"which":[51,85],"disadvantages":[54],"existing":[57],"D*-based":[58],"algorithms.":[59,96],"paper":[61],"proposes":[62],"eliminate":[66],"expanded":[68],"nodes":[69,111],"environment":[76],"by":[77],"segmenting":[78],"map":[80],"with":[81],"an":[82,106],"auto-clustering":[83],"algorithm,":[84],"able":[87],"achieve":[89],"faster":[91],"execution":[92],"time":[93],"than":[94],"conventional":[95],"Furthermore,":[97],"show":[99],"effectiveness":[101],"proposed":[104],"algorithms,":[105],"expected":[107],"value":[108],"re-planned":[110],"using":[121],"probability-based":[123],"approach.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}