Matches in SemOpenAlex for { <https://semopenalex.org/work/W2767283084> ?p ?o ?g. }
- W2767283084 abstract "High-resolution radar sensors are able to resolve multiple measurements per object and therefore provide valuable information for vehicle environment perception. For instance, multiple measurements allow to infer the size of an object or to more precisely measure the object's motion. Yet, the increased amount of data raises the demands on tracking modules: measurement models that are able to process multiple measurements for an object are necessary and measurement-to-object associations become more complex. This paper presents a new variational radar model for vehicles and demonstrates how this model can be incorporated in a Random-Finite-Set-based multi-object tracker. The measurement model is learned from actual data using variational Gaussian mixtures and avoids excessive manual engineering. In combination with the multi-object tracker, the entire process chain from the raw measurements to the resulting tracks is formulated probabilistically. The presented approach is evaluated on experimental data and it is demonstrated that data-driven measurement model outperforms a manually designed model." @default.
- W2767283084 created "2017-11-17" @default.
- W2767283084 creator A5082675746 @default.
- W2767283084 creator A5085054529 @default.
- W2767283084 date "2017-11-10" @default.
- W2767283084 modified "2023-09-27" @default.
- W2767283084 title "Tracking Multiple Vehicles Using a Variational Radar Model" @default.
- W2767283084 cites W1487494573 @default.
- W2767283084 cites W1520813427 @default.
- W2767283084 cites W1560787681 @default.
- W2767283084 cites W1618600317 @default.
- W2767283084 cites W1673310716 @default.
- W2767283084 cites W1684234301 @default.
- W2767283084 cites W1909771825 @default.
- W2767283084 cites W1921363914 @default.
- W2767283084 cites W1959279866 @default.
- W2767283084 cites W1964209755 @default.
- W2767283084 cites W1993235647 @default.
- W2767283084 cites W2001141328 @default.
- W2767283084 cites W2006336681 @default.
- W2767283084 cites W2007097714 @default.
- W2767283084 cites W2029610439 @default.
- W2767283084 cites W2049244691 @default.
- W2767283084 cites W2056268060 @default.
- W2767283084 cites W2058568645 @default.
- W2767283084 cites W2091365726 @default.
- W2767283084 cites W2114369752 @default.
- W2767283084 cites W2119362785 @default.
- W2767283084 cites W2144598923 @default.
- W2767283084 cites W2149020252 @default.
- W2767283084 cites W2151840198 @default.
- W2767283084 cites W2159021170 @default.
- W2767283084 cites W2165758957 @default.
- W2767283084 cites W2170836816 @default.
- W2767283084 cites W2172085063 @default.
- W2767283084 cites W2270755773 @default.
- W2767283084 cites W2294153305 @default.
- W2767283084 cites W2343731507 @default.
- W2767283084 cites W2482225289 @default.
- W2767283084 cites W2511727584 @default.
- W2767283084 cites W2512933954 @default.
- W2767283084 cites W2516322999 @default.
- W2767283084 cites W2516938316 @default.
- W2767283084 cites W2523958427 @default.
- W2767283084 cites W2540916961 @default.
- W2767283084 cites W2583716065 @default.
- W2767283084 cites W2611283092 @default.
- W2767283084 cites W2736781985 @default.
- W2767283084 cites W2771901986 @default.
- W2767283084 cites W2773571959 @default.
- W2767283084 cites W2791344335 @default.
- W2767283084 cites W2964064111 @default.
- W2767283084 cites W3145630061 @default.
- W2767283084 cites W386331423 @default.
- W2767283084 hasPublicationYear "2017" @default.
- W2767283084 type Work @default.
- W2767283084 sameAs 2767283084 @default.
- W2767283084 citedByCount "2" @default.
- W2767283084 countsByYear W27672830842018 @default.
- W2767283084 countsByYear W27672830842019 @default.
- W2767283084 crossrefType "posted-content" @default.
- W2767283084 hasAuthorship W2767283084A5082675746 @default.
- W2767283084 hasAuthorship W2767283084A5085054529 @default.
- W2767283084 hasConcept C111919701 @default.
- W2767283084 hasConcept C11413529 @default.
- W2767283084 hasConcept C124101348 @default.
- W2767283084 hasConcept C132964779 @default.
- W2767283084 hasConcept C154945302 @default.
- W2767283084 hasConcept C15744967 @default.
- W2767283084 hasConcept C177264268 @default.
- W2767283084 hasConcept C19417346 @default.
- W2767283084 hasConcept C199360897 @default.
- W2767283084 hasConcept C202474056 @default.
- W2767283084 hasConcept C20894473 @default.
- W2767283084 hasConcept C2775936607 @default.
- W2767283084 hasConcept C2780009758 @default.
- W2767283084 hasConcept C2781238097 @default.
- W2767283084 hasConcept C31972630 @default.
- W2767283084 hasConcept C41008148 @default.
- W2767283084 hasConcept C554190296 @default.
- W2767283084 hasConcept C58489278 @default.
- W2767283084 hasConcept C76155785 @default.
- W2767283084 hasConcept C98045186 @default.
- W2767283084 hasConceptScore W2767283084C111919701 @default.
- W2767283084 hasConceptScore W2767283084C11413529 @default.
- W2767283084 hasConceptScore W2767283084C124101348 @default.
- W2767283084 hasConceptScore W2767283084C132964779 @default.
- W2767283084 hasConceptScore W2767283084C154945302 @default.
- W2767283084 hasConceptScore W2767283084C15744967 @default.
- W2767283084 hasConceptScore W2767283084C177264268 @default.
- W2767283084 hasConceptScore W2767283084C19417346 @default.
- W2767283084 hasConceptScore W2767283084C199360897 @default.
- W2767283084 hasConceptScore W2767283084C202474056 @default.
- W2767283084 hasConceptScore W2767283084C20894473 @default.
- W2767283084 hasConceptScore W2767283084C2775936607 @default.
- W2767283084 hasConceptScore W2767283084C2780009758 @default.
- W2767283084 hasConceptScore W2767283084C2781238097 @default.
- W2767283084 hasConceptScore W2767283084C31972630 @default.
- W2767283084 hasConceptScore W2767283084C41008148 @default.
- W2767283084 hasConceptScore W2767283084C554190296 @default.