{"id":"https://openalex.org/W2163142239","doi":"https://doi.org/10.1109/ivs.2010.5548119","title":"Towards a task dependent representation generation for scene analysis","display_name":"Towards a task dependent representation generation for scene analysis","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2163142239","doi":"https://doi.org/10.1109/ivs.2010.5548119","mag":"2163142239"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2010.5548119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5548119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","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/A5060473821","display_name":"Robert Kastner","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Kastner","raw_affiliation_strings":["Institute for Automatic Control, Darmstadt University of Technology, Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Automatic Control, Darmstadt University of Technology, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083282064","display_name":"Thomas Michalke","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Michalke","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Darmstadt University of Technology, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Darmstadt University of Technology, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109108780","display_name":"Jannik Fritsch","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jannik Fritsch","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053974584","display_name":"Christian Goerick","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Goerick","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9687,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79268417,"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":"731","last_page":"737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9976000189781189,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9973999857902527,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8206337690353394},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.6302763223648071},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6163339018821716},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5655295848846436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.503178060054779},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4823262393474579},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4678557515144348},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.46743646264076233},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.44174355268478394},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4403449296951294},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3866933584213257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3439496159553528},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07996687293052673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8206337690353394},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.6302763223648071},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6163339018821716},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5655295848846436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.503178060054779},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4823262393474579},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4678557515144348},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.46743646264076233},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.44174355268478394},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4403449296951294},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3866933584213257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3439496159553528},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07996687293052673},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2010.5548119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5548119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W12162421","https://openalex.org/W563768471","https://openalex.org/W1572655503","https://openalex.org/W1655654231","https://openalex.org/W1757088154","https://openalex.org/W1950756354","https://openalex.org/W1965419956","https://openalex.org/W1995494320","https://openalex.org/W2027141107","https://openalex.org/W2028013073","https://openalex.org/W2043642041","https://openalex.org/W2079555348","https://openalex.org/W2103878819","https://openalex.org/W2106710596","https://openalex.org/W2111246291","https://openalex.org/W2130583971","https://openalex.org/W2130856452","https://openalex.org/W2153241994","https://openalex.org/W2154418813","https://openalex.org/W2156128637","https://openalex.org/W2159163626","https://openalex.org/W2166676140","https://openalex.org/W2614057604","https://openalex.org/W4285719527","https://openalex.org/W6737833810"],"related_works":["https://openalex.org/W2365264209","https://openalex.org/W962203960","https://openalex.org/W2045155990","https://openalex.org/W4313163053","https://openalex.org/W2026999166","https://openalex.org/W4300973204","https://openalex.org/W3045811229","https://openalex.org/W1483408780","https://openalex.org/W1996802783","https://openalex.org/W2509431957"],"abstract_inverted_index":{"State-of-the-art":[0],"advanced":[1],"driver":[2],"assistance":[3],"systems":[4],"(ADAS)":[5],"typically":[6],"focus":[7],"on":[8,48,118],"single":[9],"tasks":[10,141],"and":[11,91,142],"therefore,":[12],"have":[13],"clearly":[14],"defined":[15],"functionalities.":[16],"Although":[17],"said":[18],"ADAS":[19,85],"functions":[20],"(e.g.":[21],"lane":[22],"departure":[23],"warning)":[24],"show":[25,149],"good":[26],"performance,":[27],"they":[28],"lack":[29],"the":[30,38,100,115,124,127,150,153],"general":[31],"ability":[32],"to":[33,68,86],"extract":[34],"spatial":[35,41,106],"relations":[36,42],"of":[37,52,58,105,112,126,140,152],"environment.":[39],"These":[40],"are":[43],"required":[44],"for":[45,62,83],"scene":[46,59],"analysis":[47],"a":[49,55,70,75,94,137],"higher":[50],"layer":[51],"abstraction,":[53],"providing":[54],"new":[56,144],"quality":[57],"understanding,":[60],"e.g.":[61],"inner-city":[63],"crash":[64],"prevention":[65],"when":[66,131],"trying":[67],"detect":[69],"Stop":[71],"sign":[72],"violation":[73],"in":[74,93],"complex":[76,89],"situation.":[77],"Otherwise,":[78],"it":[79],"will":[80],"be":[81],"difficult":[82],"an":[84],"deal":[87],"with":[88,133],"scenes":[90],"situations":[92],"generic":[95],"way.":[96],"This":[97],"contribution":[98],"presents":[99],"novel":[101],"task":[102,109],"dependent":[103],"generation":[104],"representations,":[107],"allowing":[108],"specific":[110],"extraction":[111],"knowledge":[113],"from":[114],"environment":[116],"based":[117],"our":[119],"biologically":[120],"motivated":[121],"ADAS.":[122],"Additionally,":[123],"hierarchy":[125],"approach":[128],"provides":[129],"advantages":[130],"dealing":[132],"heterogeneous":[134],"processing":[135],"modules,":[136],"large":[138],"number":[139],"additional":[143],"input":[145],"cues.":[146],"First":[147],"results":[148],"reliability":[151],"approach.":[154]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}