Simulation and Post-Processing for Advanced Driver Assistance System (ADAS)
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| Title: | Simulation and Post-Processing for Advanced Driver Assistance System (ADAS) |
|---|---|
| Authors: | Matteo Dollorenzo, Vincenzo Dodde, Nicola Ivan Giannoccaro, Davide Palermo |
| Contributors: | Dollorenzo, Matteo, Dodde, Vincenzo, Giannoccaro, NICOLA IVAN, Palermo, Davide |
| Publication Year: | 2022 |
| Collection: | Università del Salento: CINECA IRIS |
| Subject Terms: | ADAS, vehicle testing standards, post-processing algorithms, vehicle test processing |
| Description: | Considering the continuous development in the automotive sector and autonomous driving technology, it is necessary to conduct continuous research to identify the main points that can allow continuous improvement of system autonomy. In addition to designing new components, an important aspect is characterizing the test procedures uniformly. The present work is related to analyzing the testing phases of a vehicle concerning the post-processing of the tests, using suitable software and routines, and creating an overall summary report that includes information on the type of instrumentation and type of test and post-processing results. The paper proposes the generation of an innovative tool designed to improve the generation capacity of test maneuvers for Advanced Driver Assistance Systems (ADASs) and to automate the collection and analysis phase of data relating to tests for a Lane System's Support System (LSS), Autonomous Emergency Braking (AEB), and Car to Pedestrian Nearside Child (CPNC) comply with Euro NCAP LSS 3.0.2, Euro NCAP AEB C2C 3.0.2 and UNECE R-152. The goal was achieved with the collaboration of the company Nardo Technical Center S.r.l. The entire post-processing routine was developed from data relating to experimental tests carried out in the company. |
| Document Type: | article in journal/newspaper |
| File Description: | ELETTRONICO |
| Language: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/wos/WOS:000875912800001; volume:10; firstpage:1; lastpage:29; numberofpages:29; journal:MACHINES; https://hdl.handle.net/11587/477064 |
| DOI: | 10.3390/machines10100867 |
| Availability: | https://hdl.handle.net/11587/477064 https://doi.org/10.3390/machines10100867 https://www.mdpi.com/2075-1702/10/10/867 |
| Rights: | info:eu-repo/semantics/openAccess |
| Accession Number: | edsbas.F43D0FAC |
| Database: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://hdl.handle.net/11587/477064# Name: EDS - BASE (s4221598) Category: fullText Text: View record from BASE – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Dollorenzo%20M Name: ISI Category: fullText Text: Nájsť tento článok vo Web of Science Icon: https://imagesrvr.epnet.com/ls/20docs.gif MouseOverText: Nájsť tento článok vo Web of Science |
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| Items | – Name: Title Label: Title Group: Ti Data: Simulation and Post-Processing for Advanced Driver Assistance System (ADAS) – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Matteo+Dollorenzo%22">Matteo Dollorenzo</searchLink><br /><searchLink fieldCode="AR" term="%22Vincenzo+Dodde%22">Vincenzo Dodde</searchLink><br /><searchLink fieldCode="AR" term="%22Nicola+Ivan+Giannoccaro%22">Nicola Ivan Giannoccaro</searchLink><br /><searchLink fieldCode="AR" term="%22Davide+Palermo%22">Davide Palermo</searchLink> – Name: Author Label: Contributors Group: Au Data: Dollorenzo, Matteo<br />Dodde, Vincenzo<br />Giannoccaro, NICOLA IVAN<br />Palermo, Davide – Name: DatePubCY Label: Publication Year Group: Date Data: 2022 – Name: Subset Label: Collection Group: HoldingsInfo Data: Università del Salento: CINECA IRIS – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22ADAS%22">ADAS</searchLink><br /><searchLink fieldCode="DE" term="%22vehicle+testing+standards%22">vehicle testing standards</searchLink><br /><searchLink fieldCode="DE" term="%22post-processing+algorithms%22">post-processing algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22vehicle+test+processing%22">vehicle test processing</searchLink> – Name: Abstract Label: Description Group: Ab Data: Considering the continuous development in the automotive sector and autonomous driving technology, it is necessary to conduct continuous research to identify the main points that can allow continuous improvement of system autonomy. In addition to designing new components, an important aspect is characterizing the test procedures uniformly. The present work is related to analyzing the testing phases of a vehicle concerning the post-processing of the tests, using suitable software and routines, and creating an overall summary report that includes information on the type of instrumentation and type of test and post-processing results. The paper proposes the generation of an innovative tool designed to improve the generation capacity of test maneuvers for Advanced Driver Assistance Systems (ADASs) and to automate the collection and analysis phase of data relating to tests for a Lane System's Support System (LSS), Autonomous Emergency Braking (AEB), and Car to Pedestrian Nearside Child (CPNC) comply with Euro NCAP LSS 3.0.2, Euro NCAP AEB C2C 3.0.2 and UNECE R-152. The goal was achieved with the collaboration of the company Nardo Technical Center S.r.l. The entire post-processing routine was developed from data relating to experimental tests carried out in the company. – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Format Label: File Description Group: SrcInfo Data: ELETTRONICO – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: info:eu-repo/semantics/altIdentifier/wos/WOS:000875912800001; volume:10; firstpage:1; lastpage:29; numberofpages:29; journal:MACHINES; https://hdl.handle.net/11587/477064 – Name: DOI Label: DOI Group: ID Data: 10.3390/machines10100867 – Name: URL Label: Availability Group: URL Data: https://hdl.handle.net/11587/477064<br />https://doi.org/10.3390/machines10100867<br />https://www.mdpi.com/2075-1702/10/10/867 – Name: Copyright Label: Rights Group: Cpyrght Data: info:eu-repo/semantics/openAccess – Name: AN Label: Accession Number Group: ID Data: edsbas.F43D0FAC |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/machines10100867 Languages: – Text: English Subjects: – SubjectFull: ADAS Type: general – SubjectFull: vehicle testing standards Type: general – SubjectFull: post-processing algorithms Type: general – SubjectFull: vehicle test processing Type: general Titles: – TitleFull: Simulation and Post-Processing for Advanced Driver Assistance System (ADAS) Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Matteo Dollorenzo – PersonEntity: Name: NameFull: Vincenzo Dodde – PersonEntity: Name: NameFull: Nicola Ivan Giannoccaro – PersonEntity: Name: NameFull: Davide Palermo – PersonEntity: Name: NameFull: Dollorenzo, Matteo – PersonEntity: Name: NameFull: Dodde, Vincenzo – PersonEntity: Name: NameFull: Giannoccaro, NICOLA IVAN – PersonEntity: Name: NameFull: Palermo, Davide IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
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