{"id":"https://openalex.org/W2981644531","doi":"https://doi.org/10.1109/icite.2019.8880266","title":"Efficient Hybrid Machine Learning Algorithm for Trajectory Planning in Critical Traffic-Scenarios","display_name":"Efficient Hybrid Machine Learning Algorithm for Trajectory Planning in Critical Traffic-Scenarios","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2981644531","doi":"https://doi.org/10.1109/icite.2019.8880266","mag":"2981644531"},"language":"en","primary_location":{"id":"doi:10.1109/icite.2019.8880266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","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/A5013704954","display_name":"Amit Chaulwar","orcid":"https://orcid.org/0000-0003-3466-4027"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Amit Chaulwar","raw_affiliation_strings":["Faculty of Electrical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041348217","display_name":"H. Al-Hashimi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hussein Al-Hashimi","raw_affiliation_strings":["Faculty of Electrical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058811339","display_name":"Michael Botsch","orcid":"https://orcid.org/0000-0002-0900-1697"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Botsch","raw_affiliation_strings":["Faculty of Electrical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Ingolstadt University of Applied Sciences, Ingolstadt, Germany","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004140094","display_name":"Wolfgang Utschick","orcid":"https://orcid.org/0000-0002-2871-4246"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Utschick","raw_affiliation_strings":["Department of Electrical Engineering, Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1017,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45583951,"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":"196","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9995999932289124,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9995999932289124,"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":0.9983000159263611,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9843999743461609,"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":0.7462949752807617},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6368371844291687},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4024829566478729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35963910818099976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462949752807617},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6368371844291687},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4024829566478729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35963910818099976},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icite.2019.8880266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5899999737739563,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1814533834","https://openalex.org/W1983364832","https://openalex.org/W2004455575","https://openalex.org/W2101855829","https://openalex.org/W2112271657","https://openalex.org/W2124455817","https://openalex.org/W2133820736","https://openalex.org/W2141664020","https://openalex.org/W2143826757","https://openalex.org/W2165216595","https://openalex.org/W2294808847","https://openalex.org/W2406290095","https://openalex.org/W2409044193","https://openalex.org/W2468042651","https://openalex.org/W2567397379","https://openalex.org/W2583235875","https://openalex.org/W2741542496","https://openalex.org/W2892731867","https://openalex.org/W3103346840","https://openalex.org/W4297408785","https://openalex.org/W6651358693","https://openalex.org/W6714034797","https://openalex.org/W6714639566","https://openalex.org/W6744217100"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Recently":[0],"proposed":[1,142],"algorithms":[2,43,52,79,92,116,143],",":[3],"namely":[4],"the":[5,9,16,51,60,72,98,105,107,115],"Hybrid":[6,10],"Augmented":[7,11],"CL-RRT,":[8],"CL-RRT+":[12],"and":[13,93,113,127,139],"GATE-ARRT+,":[14],"reduce":[15],"computation":[17],"time":[18],"for":[19,70,83,96],"safe":[20],"trajectory":[21,77],"planning":[22,78],"drastically":[23],"using":[24,89],"a":[25,28,34,45,123],"combination":[26],"of":[27,50,76,141],"deep":[29],"learning":[30,91],"algorithm":[31],"3D-ConvNet":[32],"with":[33,85],"vehicle":[35],"dynamic":[36],"model.":[37],"In":[38],"order":[39],"to":[40],"realize":[41],"these":[42],"in":[44,53,136,144],"vehicle,":[46],"an":[47,54],"efficient":[48],"embedded-implementation":[49],"automotive":[55,121],"micro-controller":[56,62],"is":[57],"required":[58,99],"as":[59,81],"on-board":[61],"resources":[63,138],"are":[64,109],"limited.":[65],"This":[66],"paper":[67],"proposes":[68],"methodologies":[69],"replacing":[71],"computationally":[73],"intensive":[74],"modules":[75],"such":[80],"checking":[82],"collisions":[84],"traffic":[86],"participants":[87],"predictions":[88],"machine":[90],"analytical":[94],"methods":[95],"reducing":[97],"static":[100],"RAM":[101],"memory.":[102],"After":[103],"optimising":[104],"algorithms,":[106],"results":[108,131],"generated":[110],"by":[111],"downloading":[112],"running":[114],"on":[117],"various":[118],"hardware":[119,126],"platforms:":[120],"micro-controller,":[122],"rapid":[124],"prototyping":[125],"raspberry":[128],"pi.":[129],"The":[130],"show":[132],"that":[133],"significant":[134],"reduction":[135],"computational":[137],"potential":[140],"real":[145],"time.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}