{"id":"https://openalex.org/W2970894712","doi":"https://doi.org/10.1109/ivs.2019.8813853","title":"A Probabilistic Framework for Collision Probability Estimation and an Analysis of the Discretization Precision","display_name":"A Probabilistic Framework for Collision Probability Estimation and an Analysis of the Discretization Precision","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2970894712","doi":"https://doi.org/10.1109/ivs.2019.8813853","mag":"2970894712"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8813853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5056475768","display_name":"Daniel \u00c5sljung","orcid":"https://orcid.org/0000-0003-1670-6078"},"institutions":[{"id":"https://openalex.org/I4210086940","display_name":"Zenuity (Sweden)","ror":"https://ror.org/000dpyn16","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210086940"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Daniel Asljung","raw_affiliation_strings":["Zenuity, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Zenuity, Gothenburg, Sweden","institution_ids":["https://openalex.org/I4210086940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020093496","display_name":"M. Westlund","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086940","display_name":"Zenuity (Sweden)","ror":"https://ror.org/000dpyn16","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210086940"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mathias Westlund","raw_affiliation_strings":["Zenuity, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Zenuity, Gothenburg, Sweden","institution_ids":["https://openalex.org/I4210086940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012623700","display_name":"Jonas Fredriksson","orcid":"https://orcid.org/0000-0002-9814-6416"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jonas Fredriksson","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056475768"],"corresponding_institution_ids":["https://openalex.org/I4210086940"],"apc_list":null,"apc_paid":null,"fwci":0.5044,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69357018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9945999979972839,"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":0.9945999979972839,"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/T10524","display_name":"Traffic control and management","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.8001313209533691},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.7108792066574097},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.680677592754364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6671249866485596},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5642895698547363},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5469347834587097},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5334959626197815},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5317175388336182},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48185408115386963},{"id":"https://openalex.org/keywords/probability-mass-function","display_name":"Probability mass function","score":0.4137958884239197},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.37479540705680847},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35616910457611084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33290040493011475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2302854359149933},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14850148558616638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14491212368011475},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12457707524299622}],"concepts":[{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.8001313209533691},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.7108792066574097},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.680677592754364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671249866485596},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5642895698547363},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5469347834587097},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5334959626197815},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5317175388336182},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48185408115386963},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.4137958884239197},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.37479540705680847},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35616910457611084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33290040493011475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2302854359149933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14850148558616638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14491212368011475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12457707524299622},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ivs.2019.8813853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:513204","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/513204","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research.chalmers.se:515317","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/8d3d09d2-1860-4640-8302-59222e45a19c","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W259855920","https://openalex.org/W1584808631","https://openalex.org/W1994886837","https://openalex.org/W2063293367","https://openalex.org/W2091392553","https://openalex.org/W2106993639","https://openalex.org/W2123665586","https://openalex.org/W2167695003","https://openalex.org/W2492272682","https://openalex.org/W2525936901","https://openalex.org/W2765486331","https://openalex.org/W4230519770","https://openalex.org/W6648935045"],"related_works":["https://openalex.org/W4249885815","https://openalex.org/W1575718162","https://openalex.org/W1850854912","https://openalex.org/W1534282248","https://openalex.org/W1976517975","https://openalex.org/W4285149740","https://openalex.org/W253462378","https://openalex.org/W1526257359","https://openalex.org/W2136538477","https://openalex.org/W4210694606"],"abstract_inverted_index":{"This":[0,36],"paper":[1],"presents":[2],"a":[3,21,31,48,58,97,103,123,143],"probabilistic":[4],"framework":[5,11,62],"for":[6,128],"collision":[7,130],"probability":[8,56,131],"estimation.":[9],"The":[10,61,92],"uses":[12],"information":[13],"about":[14,125],"objects'":[15],"velocity":[16,85],"and":[17,51],"acceleration":[18],"gathered":[19],"from":[20,102],"larger":[22,104],"real":[23],"traffic":[24,44],"data":[25,105],"set":[26,106,110],"in":[27,47,74,89,107,139],"order":[28,108,140],"to":[29,41,68,82,109,141],"create":[30],"discrete":[32,84],"Markov":[33],"Chain":[34],"model.":[35],"model":[37],"is":[38,63,94,122],"then":[39,64],"used":[40],"predict":[42],"other":[43],"participants":[45],"motion":[46],"given":[49],"scenario":[50],"through":[52],"this":[53],"calculate":[54],"the":[55,75,79,83,114,119,126,129,147,150],"of":[57,99,113,146,149],"future":[59],"collision.":[60],"analyzed":[65],"with":[66],"respect":[67],"potential":[69],"errors":[70,80],"that":[71],"are":[72,87],"created":[73],"discretization":[76,116],"process.":[77],"Especially":[78],"related":[81],"regions":[86],"investigated":[88],"more":[90],"detail.":[91],"analysis":[93],"performed":[95],"on":[96],"selection":[98],"critical":[100],"scenarios":[101],"scenario-based":[111],"requirements":[112],"state":[115],"resolution.":[117],"In":[118],"end,":[120],"there":[121],"discussion":[124],"implications":[127],"estimate,":[132],"as":[133],"well":[134],"as,":[135],"suggested":[136],"next":[137],"steps":[138],"get":[142],"complete":[144],"view":[145],"precision":[148],"estimate.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
