A Multi-Hypotheses Importance Density for SLAM in Cluttered Scenarios
Journal article, 2024
Radio frequency
particle filter
Density measurement
Robots
probability hypotheses density
random finite set
Probabilistic logic
Simultaneous localization and mapping
importance density
Filtering algorithms
Uncertainty
Author
Ossi Kaltiokallio
University of Tampere
Roland Hostettler
Uppsala University
Yu Ge
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Hyowom Kim
Chungnam National University
Jukka Talvitie
University of Tampere
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Mikko Valkama
University of Tampere
IEEE Transactions on Robotics
1552-3098 (ISSN) 19410468 (eISSN)
Vol. 40 1019-1035Areas of Advance
Information and Communication Technology
Transport
Subject Categories
Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/TRO.2023.3338975