Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking
Artikel i vetenskaplig tidskrift, 2020

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.

Gaussian processes

target extent

posterior fusion

multitarget tracking

Författare

Markus Fröhle

Zenuity AB

Karl Granström

Embark Trucks Inc.

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

IEEE Access

2169-3536 (ISSN)

Vol. 8 126414-126427 9136678

COPPLAR CampusShuttle cooperative perception & planning platform

VINNOVA, 2016-01-01 -- 2018-12-31.

Ämneskategorier

Farkostteknik

Signalbehandling

Datorseende och robotik (autonoma system)

DOI

10.1109/ACCESS.2020.3008007

Mer information

Senast uppdaterat

2020-08-28