{"id":"https://openalex.org/W4410887374","doi":"https://doi.org/10.1109/syscon64521.2025.11014824","title":"A Fuzzy Set-Theoretic Approach to Occupancy Grid Mapping","display_name":"A Fuzzy Set-Theoretic Approach to Occupancy Grid Mapping","publication_year":2025,"publication_date":"2025-04-07","ids":{"openalex":"https://openalex.org/W4410887374","doi":"https://doi.org/10.1109/syscon64521.2025.11014824"},"language":"en","primary_location":{"id":"doi:10.1109/syscon64521.2025.11014824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon64521.2025.11014824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International systems Conference (SysCon)","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/A5117770562","display_name":"Ehsan Adel Rastkhiz","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ehsan Adel Rastkhiz","raw_affiliation_strings":["Carleton University,Dept. of System &#x0026; Computer Engineering,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Dept. of System &#x0026; Computer Engineering,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018347314","display_name":"Howard M. Schwartz","orcid":"https://orcid.org/0000-0002-4489-5892"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Howard Schwartz","raw_affiliation_strings":["Carleton University,Dept. of System &#x0026; Computer Engineering,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Dept. of System &#x0026; Computer Engineering,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017839977","display_name":"Ioannis Lambadaris","orcid":"https://orcid.org/0000-0003-4686-9433"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ioannis Lambadaris","raw_affiliation_strings":["Carleton University,Dept. of System &#x0026; Computer Engineering,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Dept. of System &#x0026; Computer Engineering,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5117770562"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1619525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9021999835968018,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9021999835968018,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.7917765378952026},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.7383602261543274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7072714567184448},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5779155492782593},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5318711996078491},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.518147349357605},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48357197642326355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39390766620635986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29624927043914795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17904892563819885},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07378101348876953},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.058210670948028564}],"concepts":[{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.7917765378952026},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.7383602261543274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072714567184448},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5779155492782593},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5318711996078491},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.518147349357605},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48357197642326355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39390766620635986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29624927043914795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17904892563819885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07378101348876953},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.058210670948028564},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/syscon64521.2025.11014824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon64521.2025.11014824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International systems Conference (SysCon)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5600000023841858,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1991752086","https://openalex.org/W2050576295","https://openalex.org/W2074954154","https://openalex.org/W2129208272","https://openalex.org/W2133844819","https://openalex.org/W2154418813","https://openalex.org/W2198547365","https://openalex.org/W2307682158","https://openalex.org/W2346044757","https://openalex.org/W2496015086","https://openalex.org/W2911679274","https://openalex.org/W2963440325","https://openalex.org/W2973181288","https://openalex.org/W3003971676","https://openalex.org/W3121103700","https://openalex.org/W3155338920","https://openalex.org/W4285813092","https://openalex.org/W4294690558","https://openalex.org/W4382343024","https://openalex.org/W4387415261","https://openalex.org/W4389077672","https://openalex.org/W4391768639","https://openalex.org/W4391769690","https://openalex.org/W4391936225","https://openalex.org/W4394818665"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W2202433167","https://openalex.org/W2162255319","https://openalex.org/W3033776171","https://openalex.org/W1999050017","https://openalex.org/W5037887","https://openalex.org/W4229444815","https://openalex.org/W4293877624","https://openalex.org/W1538887534"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2,114],"a":[3,57,101,165,170,182],"fuzzy":[4,34,39,60,194],"set-theoretic":[5],"approach":[6,196],"to":[7,13,49,89,123,145,185],"environment":[8,99,202],"modeling":[9],"as":[10,143],"an":[11],"alternative":[12],"conventional":[14],"Occupancy":[15,82],"Grid":[16,83],"Mapping":[17,84],"(OGM).":[18],"The":[19,154,174],"proposed":[20,80,158],"method":[21],"generalizes":[22],"the":[23,59,79,91,98,118,131,146,150,157,193,201],"crisp":[24],"definitions":[25],"of":[26,45,78,95,97,130,156],"map":[27],"cells":[28],"and":[29,198],"sensor":[30,184],"measurements":[31],"by":[32],"employing":[33],"sets.":[35],"Consequently,":[36],"it":[37,135],"utilizes":[38],"inference":[40,48],"with":[41,139],"interpretable":[42],"rules":[43],"instead":[44],"binary":[46,148],"Bayesian":[47],"determine":[50],"occupancy":[51,73,93,141],"states":[52,94],"from":[53],"sensory":[54],"data.":[55],"As":[56],"result,":[58],"mapping":[61,119,195],"technique":[62,159],"addresses":[63],"uncertainty":[64],"while":[65,203],"eliminating":[66],"assumptions":[67],"about":[68],"data":[69,178],"distribution":[70],"or":[71],"cell":[72],"probabilities.":[74],"A":[75],"notable":[76],"advantage":[77,113],"Fuzzy":[81],"(FOGM)":[85],"is":[86,121,133,160],"its":[87],"ability":[88],"evaluate":[90],"overall":[92],"sub-regions":[96],"in":[100,179,209],"single":[102],"query,":[103],"unlike":[104],"traditional":[105,151],"methods":[106],"that":[107,134,192],"require":[108],"point-by-point":[109],"assessments.":[110],"While":[111],"this":[112],"increased":[115],"computational":[116,205],"complexity,":[117],"process":[120],"designed":[122],"ensure":[124],"real-time":[125,180,218],"operation.":[126],"Another":[127],"prominent":[128],"feature":[129],"FOGM":[132],"creates":[136],"continuous":[137],"maps":[138,149],"smooth":[140],"variations":[142],"compared":[144],"discrete":[147],"OGM":[152],"generates.":[153],"performance":[155],"validated":[161],"through":[162],"experiments":[163],"involving":[164],"mobile":[166],"robot":[167,175],"localized":[168],"via":[169],"motion":[171],"capture":[172],"system.":[173],"collects":[176],"range":[177],"using":[181],"LiDAR":[183],"be":[186],"used":[187],"for":[188],"mapping.":[189],"Results":[190],"demonstrate":[191],"effectively":[197],"accurately":[199],"represents":[200],"maintaining":[204],"efficiency.":[206],"Its":[207],"capability":[208],"parallel":[210],"execution":[211],"on":[212],"multiple":[213],"processing":[214],"cores":[215],"further":[216],"enhances":[217],"performance.":[219]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
