FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3182687087> ?p ?o ?g. }

• W3182687087 abstract "The safety assessment of Automated Vehicles (AVs) is an important aspect of the development cycle of AVs. A scenario-based assessment approach is accepted by many players in the field as part of the complete safety assessment. A scenario is a representation of a situation on the road to which the AV needs to respond appropriately. One way to generate the required scenario-based test descriptions is to parameterize the scenarios and to draw these parameters from a probability density function (pdf). Because the shape of the pdf is unknown beforehand, assuming a functional form of the pdf and fitting the parameters to the data may lead to inaccurate fits. As an alternative, Kernel Density Estimation (KDE) is a promising candidate for estimating the underlying pdf, because it is flexible with the underlying distribution of the parameters. Drawing random samples from a pdf estimated with KDE is possible without the need of evaluating the actual pdf, which makes it suitable for drawing random samples for, e.g., Monte Carlo methods. Sampling from a KDE while the samples satisfy a linear equality constraint, however, has not been described in the literature, as far as the authors know.In this paper, we propose a method to sample from a pdf estimated using KDE, such that the samples satisfy a linear equality constraint. We also present an algorithm of our method in pseudo-code. The method can be used to generating scenarios that have, e.g., a predetermined starting speed or to generate different types of scenarios. This paper also shows that the method for sampling scenarios can be used in case a Singular Value Decomposition (SVD) is used to reduce the dimension of the parameter vectors." @default.
• W3182687087 created "2021-07-19" @default.
• W3182687087 creator A5013984637 @default.
• W3182687087 creator A5021290712 @default.
• W3182687087 creator A5026547410 @default.
• W3182687087 creator A5043345555 @default.
• W3182687087 creator A5078032728 @default.
• W3182687087 date "2021-07-11" @default.
• W3182687087 modified "2023-09-30" @default.
• W3182687087 title "Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles" @default.
• W3182687087 cites W1898022672 @default.
• W3182687087 cites W1905316980 @default.
• W3182687087 cites W2014268383 @default.
• W3182687087 cites W2047030012 @default.
• W3182687087 cites W2108447811 @default.
• W3182687087 cites W2116940697 @default.
• W3182687087 cites W2118020555 @default.
• W3182687087 cites W2181203738 @default.
• W3182687087 cites W2328067583 @default.
• W3182687087 cites W2511072509 @default.
• W3182687087 cites W2525936901 @default.
• W3182687087 cites W2739735772 @default.
• W3182687087 cites W2885339654 @default.
• W3182687087 cites W2885911069 @default.
• W3182687087 cites W2891056855 @default.
• W3182687087 cites W2894838513 @default.
• W3182687087 cites W2896642734 @default.
• W3182687087 cites W3024414633 @default.
• W3182687087 cites W3114705373 @default.
• W3182687087 cites W4213251304 @default.
• W3182687087 cites W4242107838 @default.
• W3182687087 cites W4312258136 @default.
• W3182687087 doi "https://doi.org/10.1109/ivworkshops54471.2021.9669213" @default.
• W3182687087 hasPublicationYear "2021" @default.
• W3182687087 type Work @default.
• W3182687087 sameAs 3182687087 @default.
• W3182687087 citedByCount "5" @default.
• W3182687087 countsByYear W31826870872022 @default.
• W3182687087 countsByYear W31826870872023 @default.
• W3182687087 crossrefType "proceedings-article" @default.
• W3182687087 hasAuthorship W3182687087A5013984637 @default.
• W3182687087 hasAuthorship W3182687087A5021290712 @default.
• W3182687087 hasAuthorship W3182687087A5026547410 @default.
• W3182687087 hasAuthorship W3182687087A5043345555 @default.
• W3182687087 hasAuthorship W3182687087A5078032728 @default.
• W3182687087 hasBestOaLocation W31826870872 @default.
• W3182687087 hasConcept C103784038 @default.
• W3182687087 hasConcept C105795698 @default.
• W3182687087 hasConcept C106131492 @default.
• W3182687087 hasConcept C11413529 @default.
• W3182687087 hasConcept C114614502 @default.
• W3182687087 hasConcept C124101348 @default.
• W3182687087 hasConcept C126255220 @default.
• W3182687087 hasConcept C140779682 @default.
• W3182687087 hasConcept C149441793 @default.
• W3182687087 hasConcept C17744445 @default.
• W3182687087 hasConcept C185429906 @default.
• W3182687087 hasConcept C189508267 @default.
• W3182687087 hasConcept C19499675 @default.
• W3182687087 hasConcept C197055811 @default.
• W3182687087 hasConcept C199539241 @default.
• W3182687087 hasConcept C202444582 @default.
• W3182687087 hasConcept C2524010 @default.
• W3182687087 hasConcept C2776036281 @default.
• W3182687087 hasConcept C2776359362 @default.
• W3182687087 hasConcept C31972630 @default.
• W3182687087 hasConcept C33923547 @default.
• W3182687087 hasConcept C41008148 @default.
• W3182687087 hasConcept C52740198 @default.
• W3182687087 hasConcept C71134354 @default.
• W3182687087 hasConcept C74193536 @default.
• W3182687087 hasConcept C94625758 @default.
• W3182687087 hasConcept C9652623 @default.
• W3182687087 hasConceptScore W3182687087C103784038 @default.
• W3182687087 hasConceptScore W3182687087C105795698 @default.
• W3182687087 hasConceptScore W3182687087C106131492 @default.
• W3182687087 hasConceptScore W3182687087C11413529 @default.
• W3182687087 hasConceptScore W3182687087C114614502 @default.
• W3182687087 hasConceptScore W3182687087C124101348 @default.
• W3182687087 hasConceptScore W3182687087C126255220 @default.
• W3182687087 hasConceptScore W3182687087C140779682 @default.
• W3182687087 hasConceptScore W3182687087C149441793 @default.
• W3182687087 hasConceptScore W3182687087C17744445 @default.
• W3182687087 hasConceptScore W3182687087C185429906 @default.
• W3182687087 hasConceptScore W3182687087C189508267 @default.
• W3182687087 hasConceptScore W3182687087C19499675 @default.
• W3182687087 hasConceptScore W3182687087C197055811 @default.
• W3182687087 hasConceptScore W3182687087C199539241 @default.
• W3182687087 hasConceptScore W3182687087C202444582 @default.
• W3182687087 hasConceptScore W3182687087C2524010 @default.
• W3182687087 hasConceptScore W3182687087C2776036281 @default.
• W3182687087 hasConceptScore W3182687087C2776359362 @default.
• W3182687087 hasConceptScore W3182687087C31972630 @default.
• W3182687087 hasConceptScore W3182687087C33923547 @default.
• W3182687087 hasConceptScore W3182687087C41008148 @default.
• W3182687087 hasConceptScore W3182687087C52740198 @default.
• W3182687087 hasConceptScore W3182687087C71134354 @default.
• W3182687087 hasConceptScore W3182687087C74193536 @default.
• W3182687087 hasConceptScore W3182687087C94625758 @default.
• W3182687087 hasConceptScore W3182687087C9652623 @default.

• next