{"id":"https://openalex.org/W2920894585","doi":"https://doi.org/10.48550/arxiv.1903.04084","title":"Exploring OpenStreetMap Availability for Driving Environment Understanding","display_name":"Exploring OpenStreetMap Availability for Driving Environment Understanding","publication_year":2019,"publication_date":"2019-03-11","ids":{"openalex":"https://openalex.org/W2920894585","doi":"https://doi.org/10.48550/arxiv.1903.04084","mag":"2920894585"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1903.04084","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.04084","pdf_url":"https://arxiv.org/pdf/1903.04084","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.04084","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110789476","display_name":"Yang Zheng","orcid":"https://orcid.org/0000-0002-4493-4441","observed_orcids":["https://orcid.org/0000-0002-4493-4441"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061021970","display_name":"Izzat H. Izzat","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Izzat, Izzat H.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057910370","display_name":"John H. L. Hansen","orcid":"https://orcid.org/0000-0003-1382-9929","observed_orcids":["https://orcid.org/0000-0003-1382-9929"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hansen, John H. L.","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":8,"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":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9848999977111816,"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":0.9848999977111816,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.009100000374019146,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.0006000000284984708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/openstreetmap","display_name":"OpenStreetMap","score":1.0},{"id":"https://openalex.org/keywords/autonomous-driving-perception","display_name":"autonomous driving perception","score":0.7710000276565552},{"id":"https://openalex.org/keywords/steering-angle","display_name":"steering angle","score":0.6370000243186951}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652567028999329},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6176385283470154},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5969873666763306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5165623426437378},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5120206475257874},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5109352469444275},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46723514795303345},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4587547779083252},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40445324778556824},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.395698219537735},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1903.04084","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.04084","pdf_url":"https://arxiv.org/pdf/1903.04084","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1903.04084","doi":"https://doi.org/10.48550/arxiv.1903.04084","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1903.04084","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.04084","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.04084","pdf_url":"https://arxiv.org/pdf/1903.04084","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.761900007724762,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"},{"score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1490092700","https://openalex.org/W1499473006","https://openalex.org/W1981599814","https://openalex.org/W1989750313","https://openalex.org/W2037333893","https://openalex.org/W2051610568","https://openalex.org/W2062731218","https://openalex.org/W2115579991","https://openalex.org/W2124351162","https://openalex.org/W2146881125","https://openalex.org/W2151477068","https://openalex.org/W2157828152","https://openalex.org/W2292227758","https://openalex.org/W2296283641","https://openalex.org/W2395611524","https://openalex.org/W2558232109","https://openalex.org/W2563010498","https://openalex.org/W2566837273","https://openalex.org/W2620407671","https://openalex.org/W2735189551","https://openalex.org/W2896359563","https://openalex.org/W2962902328"],"related_works":["https://openalex.org/W2896359563","https://openalex.org/W3042793842","https://openalex.org/W4409913380","https://openalex.org/W7215008446","https://openalex.org/W3007770534","https://openalex.org/W2909664640","https://openalex.org/W2558232109","https://openalex.org/W3112429985","https://openalex.org/W4390307254","https://openalex.org/W2991534537"],"abstract_inverted_index":{"With":[0],"the":[1,28,32,40,80,94,128,206,210],"great":[2],"achievement":[3],"of":[4,31,39,191],"artificial":[5],"intelligence,":[6],"vehicle":[7,22,124],"technologies":[8],"have":[9],"advanced":[10],"significantly":[11],"from":[12,117,196],"human":[13],"centric":[14],"driving":[15,72,108,112,129,146,163],"towards":[16],"fully":[17],"automated":[18],"driving.":[19],"An":[20,213],"intelligent":[21],"should":[23],"be":[24,64,168],"able":[25],"to":[26,50,66,76,170,179,204,233],"understand":[27],"driver's":[29,211],"perception":[30],"environment":[33,109],"as":[34,36,152,176],"well":[35],"controlling":[37],"behavior":[38],"vehicle.":[41],"Since":[42],"high":[43],"digital":[44],"map":[45,68],"information":[46],"has":[47],"been":[48],"available":[49],"provide":[51],"rich":[52],"environmental":[53],"context":[54],"about":[55],"static":[56],"roads,":[57],"buildings":[58],"and":[59,136,150,157,199,202,242],"traffic":[60],"infrastructures,":[61],"it":[62,91],"would":[63],"worthwhile":[65],"explore":[67],"data":[69,83,166],"capability":[70],"for":[71,93,107,127,161,184,227],"task":[73],"understanding.":[74,110],"Alternative":[75],"commercial":[77],"used":[78,169],"maps,":[79],"OpenStreetMap":[81],"(OSM)":[82],"is":[84,99,148,217],"a":[85,139,145,220],"free":[86],"open":[87],"dataset,":[88],"which":[89,120],"makes":[90],"unique":[92],"exploration":[95],"research.":[96],"This":[97],"study":[98],"focused":[100],"on":[101,138,219,237],"two":[102],"tasks":[103],"that":[104],"leverage":[105],"OSM":[106,118,165,225],"First,":[111],"scenario":[113],"attributes":[114],"are":[115,121,194,231],"retrieved":[116],"elements,":[119],"combined":[122],"with":[123,181],"dynamic":[125],"signals":[126],"event":[130],"recognition.":[131],"Utilizing":[132],"steering":[133],"angle":[134],"changes":[135],"based":[137,218],"Bi-directional":[140],"Recurrent":[141],"Neural":[142],"Network":[143,223],"(Bi-RNN),":[144],"sequence":[147],"segmented":[149],"classified":[151],"lane-keeping,":[153],"lane-change-left,":[154],"lane-change-right,":[155],"turn-left,":[156],"turn-right":[158],"events.":[159],"Second,":[160],"autonomous":[162],"perception,":[164],"can":[167],"render":[171],"virtual":[172],"street":[173,239],"views,":[174],"represented":[175],"prior":[177],"knowledge":[178],"fuse":[180],"vision/laser":[182],"systems":[183],"road":[185,192,244],"semantic":[186,245],"segmentation.":[187],"Five":[188],"different":[189],"types":[190],"masks":[193],"generated":[195],"OSM,":[197],"images,":[198],"Lidar":[200],"points,":[201],"fused":[203],"characterize":[205],"drivable":[207],"space":[208],"at":[209],"perspective.":[212],"alternative":[214],"data-driven":[215],"approach":[216],"Fully":[221],"Convolutional":[222],"(FCN),":[224],"availability":[226],"deep":[228],"learning":[229],"methods":[230],"discussed":[232],"reveal":[234],"potential":[235],"usage":[236],"compensating":[238],"view":[240],"images":[241],"automatic":[243],"annotation.":[246]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2019-03-22T00:00:00"}
