{"id":"https://openalex.org/W2150982945","doi":"https://doi.org/10.1109/icves.2012.6294304","title":"Evaluation of robust pose estimation methods within automotive environments","display_name":"Evaluation of robust pose estimation methods within automotive environments","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2150982945","doi":"https://doi.org/10.1109/icves.2012.6294304","mag":"2150982945"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2012.6294304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2012.6294304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012)","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/A5023844855","display_name":"Daniel Slieter","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Daniel Slieter","raw_affiliation_strings":["Porsche AG, Weissach, Germany"],"affiliations":[{"raw_affiliation_string":"Porsche AG, Weissach, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043217093","display_name":"Matthias Gebhard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Gebhard","raw_affiliation_strings":["Porsche AG, Weissach, Germany"],"affiliations":[{"raw_affiliation_string":"Porsche AG, Weissach, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111539971","display_name":"Paul Levi","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Levi","raw_affiliation_strings":["Institute for Parallel and Distributed Systems, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Parallel and Distributed Systems, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023844855"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25993767,"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":"241","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9983999729156494,"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":0.9983999729156494,"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":0.996999979019165,"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/T12496","display_name":"Color perception and design","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.8296218514442444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7065569162368774},{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.6510206460952759},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5766118168830872},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.520197331905365},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4505501389503479},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4354633092880249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4067881107330322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3515862822532654},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22354751825332642},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.11149942874908447}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.8296218514442444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7065569162368774},{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.6510206460952759},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5766118168830872},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.520197331905365},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4505501389503479},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4354633092880249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4067881107330322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3515862822532654},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22354751825332642},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.11149942874908447},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves.2012.6294304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2012.6294304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1502024436","https://openalex.org/W1589443630","https://openalex.org/W1965464424","https://openalex.org/W2066634121","https://openalex.org/W2076017598","https://openalex.org/W2088115584","https://openalex.org/W2129658988","https://openalex.org/W2135980307","https://openalex.org/W2149382413","https://openalex.org/W2172803778","https://openalex.org/W2544981553","https://openalex.org/W3214102110","https://openalex.org/W4244365654","https://openalex.org/W6634562866","https://openalex.org/W6682634897","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W1984342691","https://openalex.org/W2470048815","https://openalex.org/W2324884046","https://openalex.org/W641612223","https://openalex.org/W2906771794","https://openalex.org/W2028203774","https://openalex.org/W2174716869","https://openalex.org/W4205873045","https://openalex.org/W2080126316","https://openalex.org/W146094510"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,24,48],"support":[3],"today's":[4],"drivers":[5],"in":[6,14,98],"dealing":[7],"with":[8],"the":[9,30,36,42,50,70,77],"huge":[10],"amount":[11],"of":[12,52],"information":[13],"their":[15],"environment,":[16],"this":[17,87],"paper":[18],"gives":[19],"an":[20],"overview":[21],"on":[22,54],"algorithms":[23],"determine":[25],"a":[26],"major":[27],"indicator":[28],"for":[29,72,80],"driver's":[31],"attentiveness":[32],"and":[33,67],"distraction":[34],"level:":[35],"head's":[37],"pose.":[38],"This":[39],"knowledge":[40],"about":[41],"pose":[43,81],"can":[44,83],"be":[45,84],"used":[46],"subsequently":[47],"reduce":[49],"number":[51],"accidents":[53],"streets":[55],"by":[56],"activating":[57],"warning":[58],"strategies.":[59],"After":[60],"proposing":[61],"those":[62,95],"algorithms,":[63],"they":[64],"are":[65,91],"evaluated":[66],"compared":[68],"regarding":[69],"stability":[71],"automotive":[73,99],"environments,":[74],"such":[75],"that":[76],"best":[78],"system":[79],"estimation":[82],"chosen.":[85],"For":[86],"purpose":[88],"evaluation":[89],"criteria":[90],"proposed":[92],"which":[93],"cover":[94],"difficult":[96],"situations":[97],"environments.":[100]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
