{"id":"https://openalex.org/W7058026444","doi":null,"title":"Mapping and Planning for Autonomous Vehicles in Dynamic Urban Settings","display_name":"Mapping and Planning for Autonomous Vehicles in Dynamic Urban Settings","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W7058026444"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt1ns829km","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/1ns829km","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"etd"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Paz Ruiz, David Fernando","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Paz Ruiz, David Fernando","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9682999849319458,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9682999849319458,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.016899999231100082,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.010599999688565731,"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/autonomous-driving","display_name":"autonomous driving","score":0.8840000033378601},{"id":"https://openalex.org/keywords/dynamic-urban-environments","display_name":"dynamic urban environments","score":0.8820000290870667},{"id":"https://openalex.org/keywords/semantic-mapping","display_name":"semantic mapping","score":0.9539999961853027},{"id":"https://openalex.org/keywords/multi-class-semantic-segmentation","display_name":"multi-class semantic segmentation","score":0.7760000228881836},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"sensor fusion","score":0.9229999780654907},{"id":"https://openalex.org/keywords/depth-estimation","display_name":"depth estimation","score":0.6840000152587891},{"id":"https://openalex.org/keywords/conditional-generative-models","display_name":"conditional generative models","score":0.9509999752044678},{"id":"https://openalex.org/keywords/occlusion-handling","display_name":"occlusion handling","score":0.8510000109672546},{"id":"https://openalex.org/keywords/automatic-label-generation","display_name":"automatic label generation","score":0.8769999742507935},{"id":"https://openalex.org/keywords/map-updating","display_name":"map updating","score":0.4169999957084656},{"id":"https://openalex.org/keywords/road-closure","display_name":"road closures","score":0.5529999732971191},{"id":"https://openalex.org/keywords/construction-site","display_name":"construction site","score":0.6010000109672546}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7059000134468079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6546000242233276},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5698000192642212},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4133000075817108},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3725000023841858},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32760000228881836},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.31540000438690186},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C174102782","wikidata":"https://www.wikidata.org/wiki/Q1321164","display_name":"Seven Management and Planning Tools","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C114073186","wikidata":"https://www.wikidata.org/wiki/Q2631895","display_name":"Automated planning and scheduling","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25189998745918274},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:escholarship.org:ark:/13030/qt1ns829km","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/1ns829km","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"etd"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.9333000183105469}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4384827614","https://openalex.org/W7123350200","https://openalex.org/W4285102429","https://openalex.org/W4385421869","https://openalex.org/W4417100878","https://openalex.org/W3104847429","https://openalex.org/W3007770534","https://openalex.org/W3035380445","https://openalex.org/W4413018047","https://openalex.org/W7084034827"],"abstract_inverted_index":{"In":[0,202],"highly":[1],"dynamic":[2,20],"urban":[3,102,180],"environments,":[4],"software":[5],"stacks":[6],"for":[7,80,99,149],"autonomous":[8,261],"driving":[9,103,177,255,262],"applications":[10],"must":[11],"quickly":[12],"adapt":[13,33],"to":[14,32,34,50,73,116,142,165,214,237],"fast":[15],"changing":[16],"environments.":[17],"Examples":[18],"of":[19,92,107,171,245],"scenarios":[21,256],"include":[22],"construction":[23],"sites,":[24],"road":[25,132],"closures,":[26],"and":[27,77,120,136,159,189,207,230],"lane":[28],"level":[29],"updates.":[30],"Failure":[31],"changes":[35],"in":[36,41,44,57,84,178,218,253,260],"map":[37,71],"definitions":[38],"can":[39,48],"result":[40],"catastrophic":[42],"failures":[43],"the":[45,85,124,131,155,168,190,195,203,216],"system":[46],"that":[47,67,173],"lead":[49],"accidents":[51],"or,":[52],"at":[53],"best,":[54],"rule":[55],"violations":[56],"shared":[58],"public":[59],"roads.":[60],"This":[61,152,222],"work":[62],"focuses":[63],"on":[64],"identifying":[65],"strategies":[66,113],"leverage":[68],"automatically":[69],"generated":[70],"representations":[72,138],"minimize":[74],"human-in-the-loop":[75],"efforts":[76],"explores":[78],"methods":[79,211,248],"integrating":[81],"nominal":[82,145],"planners":[83],"global":[86,146],"planning":[87,147],"task.":[88],"The":[89,247],"first":[90],"part":[91,106],"this":[93,108],"dissertation":[94],"covers":[95],"multi-class":[96],"semantic":[97,121,156],"mapping":[98],"large":[100],"scale":[101],"applications.":[104],"As":[105],"framework,":[109],"sensor":[110],"fusion":[111],"based":[112],"are":[114,139,174,212],"applied":[115],"provide":[117,184],"robust":[118,251],"depth":[119],"estimates":[122],"from":[123,186,194],"scene":[125,220],"without":[126],"making":[127],"strong":[128],"assumptions":[129],"about":[130,239],"topology.":[133],"Secondly,":[134],"rasterized":[135],"graphical":[137],"jointly":[140],"leveraged":[141],"formulate":[143],"a":[144,161],"approach":[148,236],"lane-level":[150],"navigation.":[151],"method":[153],"utilizes":[154],"maps":[157],"introduced":[158,213],"employs":[160],"conditional":[162],"generative":[163],"model":[164,167],"explicitly":[166],"multi-modal":[169],"distribution":[170],"trajectories":[172],"feasible":[175],"when":[176],"an":[179,225,233],"setting.":[181],"We":[182],"additionally":[183,231],"details":[185],"real-world":[187],"testing":[188],"open-source":[191],"data":[192],"collected":[193],"UC":[196],"San":[197],"Diego":[198],"campus":[199],"during":[200],"2020-2021.":[201],"last":[204],"chapter,":[205],"2D":[206],"3D":[208],"centerline":[209,240],"prediction":[210,241],"reduce":[215],"gap":[217],"real-time":[219],"understanding.":[221],"contribution":[223],"outlines":[224],"automatic":[226],"label":[227],"generation":[228],"process":[229],"leverages":[232],"occlusion":[234],"handling":[235],"reason":[238],"with":[242,257],"varying":[243],"degrees":[244],"occlusion.":[246],"proposed":[249],"achieve":[250],"performance":[252],"diverse":[254],"promising":[258],"directions":[259],"architectures.":[263]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}