{"id":"https://openalex.org/W2910510426","doi":"https://doi.org/10.1109/iros.2018.8593998","title":"Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles","display_name":"Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910510426","doi":"https://doi.org/10.1109/iros.2018.8593998","mag":"2910510426"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8593998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8593998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5101676081","display_name":"Ashish Kumar","orcid":"https://orcid.org/0009-0006-4719-2494"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashish Kumar","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Kanpur"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Kanpur","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037493550","display_name":"James R. McBride","orcid":"https://orcid.org/0000-0003-0161-7283"},"institutions":[{"id":"https://openalex.org/I4210100359","display_name":"Ford Motor Company (France)","ror":"https://ror.org/018mdm506","country_code":"FR","type":"company","lineage":["https://openalex.org/I1292974536","https://openalex.org/I4210100359"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"James R. McBride","raw_affiliation_strings":["Research & Innovation Center, Ford Motor Company"],"affiliations":[{"raw_affiliation_string":"Research & Innovation Center, Ford Motor Company","institution_ids":["https://openalex.org/I4210100359"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004812994","display_name":"Gaurav Pandey","orcid":"https://orcid.org/0000-0003-1939-679X"},"institutions":[{"id":"https://openalex.org/I4210100359","display_name":"Ford Motor Company (France)","ror":"https://ror.org/018mdm506","country_code":"FR","type":"company","lineage":["https://openalex.org/I1292974536","https://openalex.org/I4210100359"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gaurav Pandey","raw_affiliation_strings":["Research & Innovation Center, Ford Motor Company"],"affiliations":[{"raw_affiliation_string":"Research & Innovation Center, Ford Motor Company","institution_ids":["https://openalex.org/I4210100359"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101676081"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.8872,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82344033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"33","issue":null,"first_page":"3233","last_page":"3240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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":0.7896045446395874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7806539535522461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7640985250473022},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.7052246928215027},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.442320317029953},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.41741180419921875},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32605913281440735},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2159551978111267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10088473558425903}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7896045446395874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7806539535522461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7640985250473022},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.7052246928215027},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.442320317029953},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.41741180419921875},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32605913281440735},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2159551978111267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10088473558425903}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2018.8593998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8593998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W79820356","https://openalex.org/W143844427","https://openalex.org/W639708223","https://openalex.org/W1479814506","https://openalex.org/W1484210532","https://openalex.org/W1980148873","https://openalex.org/W1997846515","https://openalex.org/W2021063678","https://openalex.org/W2055496835","https://openalex.org/W2065624700","https://openalex.org/W2065688151","https://openalex.org/W2080823437","https://openalex.org/W2083624955","https://openalex.org/W2085261163","https://openalex.org/W2089697667","https://openalex.org/W2101345862","https://openalex.org/W2107905629","https://openalex.org/W2109453544","https://openalex.org/W2115579991","https://openalex.org/W2125989410","https://openalex.org/W2127431937","https://openalex.org/W2134822252","https://openalex.org/W2137531922","https://openalex.org/W2156561799","https://openalex.org/W2211977492","https://openalex.org/W2296754596","https://openalex.org/W2468368736","https://openalex.org/W2471009653","https://openalex.org/W2505763307","https://openalex.org/W2535722635","https://openalex.org/W2560023338","https://openalex.org/W2605189827","https://openalex.org/W2613030841","https://openalex.org/W2613718673","https://openalex.org/W2797881512","https://openalex.org/W2962853753","https://openalex.org/W2963150697","https://openalex.org/W3098206880","https://openalex.org/W3104050166","https://openalex.org/W4243493583","https://openalex.org/W4249866455","https://openalex.org/W6603214568","https://openalex.org/W6620707391"],"related_works":["https://openalex.org/W2113831239","https://openalex.org/W1976834350","https://openalex.org/W2348313749","https://openalex.org/W6676372","https://openalex.org/W2734518707","https://openalex.org/W2373859098","https://openalex.org/W3171672727","https://openalex.org/W2069299168","https://openalex.org/W2366743727","https://openalex.org/W2360732326"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2],"end-to-end":[3],"real":[4,79],"time":[5,80,159],"framework":[6],"to":[7,112,164],"generate":[8],"high":[9,114],"resolution":[10,115],"graphics":[11],"grade":[12],"textured":[13,203],"3D":[14,76,116,125,173],"map":[15,22,55,73,117,126],"of":[16,32,86,137,175,196,201],"urban":[17],"environment.":[18],"The":[19],"generated":[20],"detailed":[21],"finds":[23],"its":[24],"application":[25],"in":[26,56,78,144,167,172],"the":[27,57,84,91,119,157,176,202],"precise":[28],"localization":[29],"and":[30,47,81,107,130,142,160,170,186,198],"navigation":[31],"autonomous":[33],"vehicles.":[34],"It":[35],"can":[36],"also":[37,161,181],"serve":[38],"as":[39,50,52],"a":[40,53,72,97,134],"virtual":[41],"test":[42],"bed":[43],"for":[44],"various":[45],"vision":[46],"planning":[48],"algorithms":[49],"well":[51],"background":[54],"computer":[58],"games.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,95,151,180],"focus":[64],"on":[65],"two":[66],"important":[67],"issues:":[68],"(i)":[69],"incrementally":[70],"generating":[71],"with":[74],"coherent":[75],"surface,":[77],"(ii)":[82],"preserving":[83],"quality":[85,200],"color":[87,168],"texture.":[88],"To":[89],"handle":[90],"above":[92],"issues,":[93],"firstly,":[94],"perform":[96],"pose-refinement":[98],"procedure":[99],"which":[100,139,154,192],"leverages":[101],"camera":[102],"image":[103],"information,":[104],"Delaunay":[105],"triangulation":[106],"existing":[108],"scan":[109],"matching":[110],"techniques":[111],"produce":[113],"from":[118],"sparse":[120],"input":[121],"LIDAR":[122],"scan.":[123],"This":[124],"is":[127],"then":[128],"texturized":[129],"accumulated":[131],"by":[132,148],"using":[133],"novel":[135],"technique":[136],"ray-filtering":[138,163],"handles":[140],"occlusion":[141],"inconsistencies":[143],"pose-refinement.":[145],"Further,":[146],"inspired":[147],"human":[149],"fovea,":[150],"introduce":[152,182],"foveal-processing":[153],"significantly":[155],"reduces":[156],"computation":[158],"assists":[162],"maintain":[165],"consistency":[166],"texture":[169,183,188],"coherency":[171],"surface":[174],"output":[177],"map.":[178],"Moreover,":[179],"error":[184,190],"(TE)":[185],"mean":[187],"mapping":[189],"(MTME),":[191],"provides":[193],"quantitative":[194],"measure":[195],"texturing":[197],"overall":[199],"maps.":[204]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}