Sökning: id:"swepub:oai:research.chalmers.se:03562f5e-2c4e-4338-9b19-833835a5d8cf" >
Decentralized Poiss...
Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking
-
- Fröhle, Markus, 1984 (författare)
- Zenuity AB
-
- Granström, Karl, 1981 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
-
- Wymeersch, Henk, 1976 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
-
(creator_code:org_t)
- 2020
- 2020
- Engelska.
-
Ingår i: IEEE Access. - 2169-3536 .- 2169-3536. ; 8, s. 126414-126427
- Relaterad länk:
-
https://research.cha... (primary) (free)
-
visa fler...
-
https://research.cha...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using multiple high-resolution sensors. Independent filters estimate the vehicles' presence, state, and shape using a Gaussian process extent model; a decentralized filter is realized through fusion of the filters posterior densities. An efficient implementation is achieved by parametric state representation, utilization of single hypothesis tracks, and fusion of vehicle information based on a fusion mapping. Numerical results demonstrate the performance.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Gaussian processes
- target extent
- posterior fusion
- multitarget tracking
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas