{"id":"https://openalex.org/W4408226224","doi":"https://doi.org/10.1142/s1793351x2541003x","title":"Advancing Automated Testing on Proving Grounds: Rapid Obstacle Detection in Highly Dynamic Driving","display_name":"Advancing Automated Testing on Proving Grounds: Rapid Obstacle Detection in Highly Dynamic Driving","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4408226224","doi":"https://doi.org/10.1142/s1793351x2541003x"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x2541003x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x2541003x","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-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/A5102985077","display_name":"David Hermann","orcid":"https://orcid.org/0009-0006-1509-5251"},"institutions":[{"id":"https://openalex.org/I4210103324","display_name":"Fachverband Geb\u00e4ude-Klima (Germany)","ror":"https://ror.org/01dc86h50","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210103324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"David Hermann","raw_affiliation_strings":["Porsche Engineering Services GmbH, Etzelstrasse 1, 74321 Bietigheim-Bissingen, Germany"],"affiliations":[{"raw_affiliation_string":"Porsche Engineering Services GmbH, Etzelstrasse 1, 74321 Bietigheim-Bissingen, Germany","institution_ids":["https://openalex.org/I4210103324"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116550211","display_name":"Raviraj Jitendrakumar Gadhavi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103324","display_name":"Fachverband Geb\u00e4ude-Klima (Germany)","ror":"https://ror.org/01dc86h50","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210103324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raviraj Jitendrakumar Gadhavi","raw_affiliation_strings":["Porsche Engineering Services GmbH, Etzelstrasse 1, 74321 Bietigheim-Bissingen, Germany"],"affiliations":[{"raw_affiliation_string":"Porsche Engineering Services GmbH, Etzelstrasse 1, 74321 Bietigheim-Bissingen, Germany","institution_ids":["https://openalex.org/I4210103324"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"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":"Alois Knoll","raw_affiliation_strings":["Technical University of Munich, Boltzmannstrasse 3, 85748 Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Boltzmannstrasse 3, 85748 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102985077"],"corresponding_institution_ids":["https://openalex.org/I4210103324"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03393444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"01","first_page":"55","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9970999956130981,"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":0.9970999956130981,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9817000031471252,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9552000164985657,"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/computer-science","display_name":"Computer science","score":0.8283830881118774},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7085496187210083},{"id":"https://openalex.org/keywords/dynamic-testing","display_name":"Dynamic testing","score":0.5319811105728149},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3232497274875641}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8283830881118774},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7085496187210083},{"id":"https://openalex.org/C198824145","wikidata":"https://www.wikidata.org/wiki/Q442770","display_name":"Dynamic testing","level":2,"score":0.5319811105728149},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3232497274875641},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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:10.1142/s1793351x2541003x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x2541003x","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5400000214576721,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2567575208","https://openalex.org/W2737777104","https://openalex.org/W2945034950","https://openalex.org/W2955518986","https://openalex.org/W2964330448","https://openalex.org/W3081605498","https://openalex.org/W3090670396","https://openalex.org/W3122817143","https://openalex.org/W3196656552","https://openalex.org/W4200431469","https://openalex.org/W4210719924","https://openalex.org/W4230559680","https://openalex.org/W4285393579","https://openalex.org/W4287220161","https://openalex.org/W4313854933","https://openalex.org/W4362714921","https://openalex.org/W4377092200","https://openalex.org/W4382932393","https://openalex.org/W4383097531","https://openalex.org/W4393141153"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2794103424","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W4245435724","https://openalex.org/W2055301889","https://openalex.org/W4400979532"],"abstract_inverted_index":{"Automated":[0],"vehicle":[1,17,61,146],"testing":[2,147],"is":[3,37,50],"crucial":[4],"for":[5,39,82,105,141],"ensuring":[6,142],"safety,":[7],"consistency,":[8],"and":[9,14,29,33,45,62,84,93,107,117,144],"efficiency":[10],"as":[11],"the":[12],"number":[13],"complexity":[15],"of":[16,122,127],"tests":[18,25],"on":[19,78,148],"proving":[20,149],"grounds":[21],"increase.":[22],"In":[23],"dynamic":[24,129],"with":[26,88],"high":[27],"speeds":[28],"sharp":[30],"curves,":[31],"early":[32],"long-range":[34],"obstacle":[35,86],"detection":[36,87],"essential":[38],"maintaining":[40],"safety.":[41],"Therefore,":[42],"a":[43,56,74,79,120,125,138],"Rapid":[44],"Long-range":[46],"Detector":[47],"(RLD)":[48],"algorithm":[49],"necessary":[51],"to":[52,67,114],"seamlessly":[53],"integrate":[54],"into":[55],"sensor":[57],"network,":[58],"which":[59],"includes":[60],"Roadside":[63],"Unit":[64],"(RSU)":[65],"sensors,":[66],"monitor":[68],"robot-guided":[69,97],"vehicles.":[70,98],"This":[71,99],"paper":[72],"presents":[73],"new":[75],"method,":[76],"based":[77],"given":[80],"approach,":[81],"rapid":[83],"comprehensive":[85],"minimal":[89],"latency,":[90],"using":[91],"trajectory":[92],"motion":[94],"data":[95],"from":[96],"method":[100],"uses":[101],"point":[102],"cloud-based":[103],"sensors":[104],"reliable":[106],"precise":[108],"detection.":[109],"Our":[110],"approach":[111],"has":[112],"proven":[113],"be":[115],"effective":[116],"robust":[118],"in":[119],"series":[121],"experiments":[123],"involving":[124],"range":[126],"highly":[128],"driving":[130],"scenarios":[131],"under":[132],"different":[133],"conditions.":[134],"These":[135],"results":[136],"provide":[137],"solid":[139],"foundation":[140],"safe":[143],"automated":[145],"grounds.":[150]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
