{"id":"https://openalex.org/W2089592081","doi":"https://doi.org/10.1109/mits.2011.2178492","title":"Particle Grid Tracking System Stereovision Based Obstacle Perception in Driving Environments","display_name":"Particle Grid Tracking System Stereovision Based Obstacle Perception in Driving Environments","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2089592081","doi":"https://doi.org/10.1109/mits.2011.2178492","mag":"2089592081"},"language":"en","primary_location":{"id":"doi:10.1109/mits.2011.2178492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2011.2178492","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Transportation Systems Magazine","raw_type":"journal-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/A5014747694","display_name":"Radu D\u0103nescu","orcid":"https://orcid.org/0000-0002-4515-8114"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"R. Danescu","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj Napoca, Cluj-Napoca, Romania","Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062422880","display_name":"Cosmin D. Pantilie","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"C. Pantilie","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj Napoca, Cluj-Napoca, Romania","Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061493057","display_name":"Florin Oniga","orcid":"https://orcid.org/0000-0003-4875-2220"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"F. Oniga","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj Napoca, Cluj-Napoca, Romania","Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"S. Nedevschi","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj Napoca, Cluj-Napoca, Romania","Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014747694"],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":1.3727,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.83520136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"4","issue":"1","first_page":"6","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9962000250816345,"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/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.8617886304855347},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7439808249473572},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6852243542671204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6515456438064575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.649213433265686},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6268938183784485},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6058992147445679},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.4945234954357147},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4732128977775574},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.44095632433891296},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.43152475357055664},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.30558499693870544},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.09953218698501587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08864161372184753},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08411484956741333}],"concepts":[{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.8617886304855347},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7439808249473572},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6852243542671204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6515456438064575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.649213433265686},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6268938183784485},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6058992147445679},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.4945234954357147},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4732128977775574},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.44095632433891296},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.43152475357055664},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.30558499693870544},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.09953218698501587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08864161372184753},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08411484956741333},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mits.2011.2178492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2011.2178492","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Transportation Systems Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"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/W161578567","https://openalex.org/W1491327727","https://openalex.org/W1589504938","https://openalex.org/W1835023670","https://openalex.org/W1976511700","https://openalex.org/W1986940113","https://openalex.org/W1991752086","https://openalex.org/W1998119098","https://openalex.org/W1999050017","https://openalex.org/W2034430035","https://openalex.org/W2097853086","https://openalex.org/W2107516554","https://openalex.org/W2116630903","https://openalex.org/W2118991300","https://openalex.org/W2125994488","https://openalex.org/W2134550343","https://openalex.org/W2143324623","https://openalex.org/W2154912862","https://openalex.org/W2161337244","https://openalex.org/W2161406034","https://openalex.org/W6606543600","https://openalex.org/W6629370622","https://openalex.org/W6635014653"],"related_works":["https://openalex.org/W2927378857","https://openalex.org/W2801696468","https://openalex.org/W2406829934","https://openalex.org/W1824810860","https://openalex.org/W2185006999","https://openalex.org/W1583020711","https://openalex.org/W2138381686","https://openalex.org/W2162253570","https://openalex.org/W2510414167","https://openalex.org/W2010934810"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"occupancy":[4,125],"grid":[5,65,97,126],"tracking":[6,147],"system":[7,16,142],"based":[8],"on":[9,71],"particles,":[10],"and":[11,57,59,75,84,110,154,169],"the":[12,37,46,64,111,117,120,131,134],"use":[13],"of":[14,49,119,133],"this":[15],"for":[17,129,149,158],"dynamic":[18,124,150,161],"obstacle":[19,96],"detection":[20,168],"in":[21,36,63],"driving":[22,152],"environments.":[23],"The":[24,53,123,140],"particles":[25,54],"will":[26,32,43,80],"have":[27,55],"a":[28,87,101,144,155],"dual":[29],"nature":[30],"they":[31,42,60,79],"denote":[33],"hypotheses,":[34],"as":[35,107,137],"particle":[38,92],"filtering":[39],"algorithms,":[40],"but":[41,78],"also":[44,81],"be":[45,82],"building":[47],"blocks":[48],"our":[50],"modeled":[51],"world.":[52],"position":[56],"speed,":[58],"can":[61,164],"migrate":[62],"from":[66,99],"cell":[67,69],"to":[68,91],"depending":[70],"their":[72],"motion":[73,76],"model":[74,113],"parameters,":[77],"created":[83],"destroyed":[85],"using":[86],"weighting-resampling":[88],"mechanism":[89],"specific":[90],"filter":[93],"algorithms.":[94],"An":[95],"derived":[98],"processing":[100],"stereovision-generated":[102],"elevation":[103],"map":[104],"is":[105,127,143],"used":[106,128],"measurement":[108,112],"information,":[109],"takes":[114],"into":[115],"account":[116],"uncertainties":[118],"stereo":[121],"reconstruction.":[122],"improving":[130],"quality":[132],"stereovision-based":[135],"reconstruction":[136],"oriented":[138],"cuboids.":[139],"resulted":[141],"flexible,":[145],"real-time":[146],"solution":[148],"unstructured":[151],"environments,":[153],"useful":[156],"tool":[157],"extracting":[159],"intermediate":[160],"information":[162],"that":[163],"considerably":[165],"improve":[166],"object":[167],"tracking.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}