{"id":"https://openalex.org/W1484590959","doi":"https://doi.org/10.1109/ivs.2015.7225851","title":"Managing the complexity of inner-city scenes: An efficient situation hypotheses selection scheme","display_name":"Managing the complexity of inner-city scenes: An efficient situation hypotheses selection scheme","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1484590959","doi":"https://doi.org/10.1109/ivs.2015.7225851","mag":"1484590959"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2015.7225851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2015.7225851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5081535174","display_name":"Stefan Klingelschmitt","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":"Stefan Klingelschmitt","raw_affiliation_strings":["Control Methods and Robotics Lab, Technical University of Darmstadt, Germany","Control Methods and Robotics Lab, Technical University of Darmstadt, D-64283 Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Methods and Robotics Lab, Technical University of Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]},{"raw_affiliation_string":"Control Methods and Robotics Lab, Technical University of Darmstadt, D-64283 Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032755561","display_name":"Florian Damerow","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":"Florian Damerow","raw_affiliation_strings":["Control Methods and Robotics Lab, Technical University of Darmstadt, Germany","Control Methods and Robotics Lab, Technical University of Darmstadt, D-64283 Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Methods and Robotics Lab, Technical University of Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]},{"raw_affiliation_string":"Control Methods and Robotics Lab, Technical University of Darmstadt, D-64283 Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039532032","display_name":"Julian Eggert","orcid":"https://orcid.org/0000-0003-4437-6133"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]},{"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","JP"],"is_corresponding":false,"raw_author_name":"Julian Eggert","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Germany","Honda Research Institute Europe GmbH, D-63073 Offenbach am Main, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Germany","institution_ids":["https://openalex.org/I4210112253"]},{"raw_affiliation_string":"Honda Research Institute Europe GmbH, D-63073 Offenbach am Main, Germany#TAB#","institution_ids":["https://openalex.org/I1283473643"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4338,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.92426331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1232","last_page":"1239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9904000163078308,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9904000163078308,"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/T12325","display_name":"Urban Design and Spatial Analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9891999959945679,"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/selection","display_name":"Selection (genetic algorithm)","score":0.6757493019104004},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6639990210533142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287670135498047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39886438846588135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2126103639602661}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6757493019104004},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6639990210533142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287670135498047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39886438846588135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2126103639602661},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2015.7225851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2015.7225851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W243388459","https://openalex.org/W1601476331","https://openalex.org/W1972079039","https://openalex.org/W1992884181","https://openalex.org/W1998277720","https://openalex.org/W2017205399","https://openalex.org/W2019550475","https://openalex.org/W2022826790","https://openalex.org/W2062458019","https://openalex.org/W2083446578","https://openalex.org/W2095932903","https://openalex.org/W2097545165","https://openalex.org/W2105519784","https://openalex.org/W2106993639","https://openalex.org/W2128060716","https://openalex.org/W2131762276","https://openalex.org/W2133133694","https://openalex.org/W2136242274","https://openalex.org/W2141808590","https://openalex.org/W2158698691","https://openalex.org/W2167293612","https://openalex.org/W4256723114","https://openalex.org/W6609289637","https://openalex.org/W6635836490"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W2389192348"],"abstract_inverted_index":{"Due":[0],"to":[1,130],"the":[2,6,16,26,41,48,54,99,106,125,133],"large":[3],"number":[4,134],"and":[5,56,113],"high":[7],"variability":[8,55],"of":[9,43,47,58,108,135],"possible":[10,44],"traffic":[11,50,60],"situations,":[12,61],"intersections":[13],"are":[14,33,37],"among":[15],"most":[17],"accident-prone":[18],"spots":[19],"in":[20,95],"inner-city":[21],"traffic.":[22],"To":[23],"reliably":[24],"assist":[25],"driving":[27],"tasks":[28],"elaborated":[29],"risk":[30,116],"assessment":[31,117],"systems":[32],"needed.":[34],"Current":[35],"approaches":[36],"mainly":[38],"based":[39,86],"on":[40,87,140],"prediction":[42],"future":[45],"trajectories":[46],"involved":[49],"participants.":[51],"However,":[52],"considering":[53],"combinatorics":[57],"intersection-related":[59],"this":[62],"becomes":[63],"unfeasible":[64],"for":[65,75,98],"limited":[66],"computational":[67],"resources.":[68],"Here,":[69],"we":[70],"present":[71],"a":[72,91,96,109,114],"general":[73],"framework":[74],"an":[76],"efficient":[77],"situation":[78,93,111,138],"hypotheses":[79,139],"selection":[80,83],"system.":[81],"The":[82],"process":[84],"is":[85,128],"reasoning":[88],"about":[89],"whether":[90],"particular":[92],"results":[94,107],"threat":[97],"ego":[100],"vehicle's":[101],"behavior.":[102],"Our":[103],"approach":[104],"combines":[105],"probabilistic":[110],"recognition":[112],"fast":[115],"using":[118],"state-of-the-art":[119],"regression":[120],"methods.":[121],"We":[122],"show":[123],"that":[124],"proposed":[126],"system":[127],"able":[129],"effectively":[131],"reduce":[132],"unnecessarily":[136],"considered":[137],"average":[141],"by":[142],"over":[143],"80%.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}