{"id":"https://openalex.org/W2513537529","doi":"https://doi.org/10.1109/ivs.2016.7535540","title":"Inferring a spatial road representation from the behavior of real world traffic participants","display_name":"Inferring a spatial road representation from the behavior of real world traffic participants","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2513537529","doi":"https://doi.org/10.1109/ivs.2016.7535540","mag":"2513537529"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","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/A5080366790","display_name":"E. Casapietra","orcid":null},"institutions":[{"id":"https://openalex.org/I189158971","display_name":"United States Naval Academy","ror":"https://ror.org/00znex860","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I189158971","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. Casapietra","raw_affiliation_strings":["Department of Mechanical Engineering, United States Naval Academy, Annapolis, Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, United States Naval Academy, Annapolis, Maryland","institution_ids":["https://openalex.org/I189158971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007402183","display_name":"Thomas H. Weisswange","orcid":"https://orcid.org/0000-0003-2119-6965"},"institutions":[{"id":"https://openalex.org/I189158971","display_name":"United States Naval Academy","ror":"https://ror.org/00znex860","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I189158971","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.H. Weisswange","raw_affiliation_strings":["Department of Mechanical Engineering, United States Naval Academy, Annapolis, Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, United States Naval Academy, Annapolis, Maryland","institution_ids":["https://openalex.org/I189158971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053974584","display_name":"Christian Goerick","orcid":null},"institutions":[{"id":"https://openalex.org/I189158971","display_name":"United States Naval Academy","ror":"https://ror.org/00znex860","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I189158971","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Goerick","raw_affiliation_strings":["Department of Mechanical Engineering, United States Naval Academy, Annapolis, Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, United States Naval Academy, Annapolis, Maryland","institution_ids":["https://openalex.org/I189158971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024425658","display_name":"Franz K\u00fcmmert","orcid":"https://orcid.org/0009-0009-0941-3825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. Kummert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.263,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64479089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1185","last_page":"1191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9980999827384949,"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-science","display_name":"Computer science","score":0.7453487515449524},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.7044639587402344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6188105344772339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6043006181716919},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5701193809509277},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.48018136620521545},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4553442895412445},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43137645721435547},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42763012647628784},{"id":"https://openalex.org/keywords/grid-reference","display_name":"Grid reference","score":0.41408810019493103},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35349249839782715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19184347987174988},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.17573830485343933},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.16945093870162964},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13881662487983704},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11175957322120667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453487515449524},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.7044639587402344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6188105344772339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6043006181716919},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5701193809509277},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.48018136620521545},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4553442895412445},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43137645721435547},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42763012647628784},{"id":"https://openalex.org/C156172958","wikidata":"https://www.wikidata.org/wiki/Q3438407","display_name":"Grid reference","level":4,"score":0.41408810019493103},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35349249839782715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19184347987174988},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.17573830485343933},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.16945093870162964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13881662487983704},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11175957322120667},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2016.7535540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:pub.librecat.org:2906158","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2906158","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Casapietra E, Weisswange TH, Goerick C, Kummert F. Inferring a spatial road representation from the behavior of real world traffic participants. In:  <em>2016 IEEE Intelligent Vehicles Symposium (IV)</em>. Institute of Electrical and Electronics Engineers (IEEE);  2016.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W161578567","https://openalex.org/W1558346831","https://openalex.org/W1569925765","https://openalex.org/W1981941286","https://openalex.org/W2004815690","https://openalex.org/W2010040278","https://openalex.org/W2030032449","https://openalex.org/W2031614932","https://openalex.org/W2037333893","https://openalex.org/W2044164936","https://openalex.org/W2044263254","https://openalex.org/W2065942790","https://openalex.org/W2081303520","https://openalex.org/W2108317465","https://openalex.org/W2116630903","https://openalex.org/W2121806728","https://openalex.org/W2137097255","https://openalex.org/W2145951052","https://openalex.org/W2150066425","https://openalex.org/W2153523409","https://openalex.org/W2154912862","https://openalex.org/W2332618872","https://openalex.org/W2404189583","https://openalex.org/W2406067508","https://openalex.org/W2408243243","https://openalex.org/W6606543600","https://openalex.org/W6680464238"],"related_works":["https://openalex.org/W3134175566","https://openalex.org/W3211510429","https://openalex.org/W4377081758","https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W2215759665","https://openalex.org/W2960358116","https://openalex.org/W2352438249","https://openalex.org/W4308236838","https://openalex.org/W4293482588"],"abstract_inverted_index":{"The":[0,135],"detection":[1,20,89,100,169,198],"of":[2,8,65,73,75,85,126,129,142,153,173,204],"road":[3,86,155,197],"area":[4],"in":[5,36,132,145],"the":[6,9,62,71,76,82,124,127,133,138,149,178,182,190,201],"surroundings":[7],"ego-vehicle":[10],"is":[11,57,207],"a":[12,31,58,92,118,211,215],"key":[13],"issue":[14],"for":[15,181,218],"modern":[16],"ADAS.":[17],"Camera-based":[18],"direct":[19,99,196],"systems":[21,90,101,106],"are":[22,91,177],"able":[23,208],"to":[24,40,80,107,147,209],"reliably":[25],"accomplish":[26],"this":[27,114,161,193],"task":[28],"only":[29],"within":[30],"limited":[32],"spatial":[33,83,202],"range":[34,84,203],"or":[35,48],"simple":[37],"environments,":[38,52],"due":[39],"hardware":[41],"limitations":[42],"and":[43,102,110,140,151,195],"unfavorable":[44],"situations,":[45],"like":[46,53],"shadows":[47],"occlusions.":[49],"In":[50,78,113],"complex":[51],"inner":[54],"city,":[55],"traffic":[56],"real":[59],"issue,":[60],"since":[61],"mere":[63],"presence":[64,150],"other":[66,130],"cars":[67],"can":[68,96,163],"significantly":[69,199],"restrict":[70],"field":[72],"view":[74],"ego-vehicle.":[77],"order":[79,146],"extend":[81],"detection,":[87,205],"indirect":[88],"viable":[93],"resource.":[94],"They":[95],"complement":[97,164],"state-of-the-art":[98],"help":[103],"motion":[104,128,212],"control":[105,213],"plan":[108],"smooth":[109],"stable":[111],"trajectories.":[112,220],"paper":[115],"we":[116],"propose":[117],"probabilistic":[119],"grid-based":[120],"approach":[121,136,162,194],"based":[122],"on":[123,185],"interpretation":[125],"vehicles":[131,144],"scene.":[134],"uses":[137],"position":[139],"velocity":[141],"those":[143,174],"infer":[148],"location":[152],"occluded":[154],"area.":[156],"We":[157],"will":[158],"show":[159,188],"that":[160,176,189],"an":[165],"already":[166],"established":[167],"feature-based":[168],"system,":[170],"taking":[171],"advantage":[172],"situations":[175],"most":[179],"challenging":[180],"latter.":[183],"Evaluations":[184],"real-world":[186],"scenes":[187],"union":[191],"between":[192],"extends":[200],"thus":[206],"provide":[210],"system":[214],"longer":[216],"horizon":[217],"planning":[219]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}