Searched for: subject%3A%22distributed%255C+Kalman%255C+filter%22
(1 - 4 of 4)
document
ZHONG, Yigen (author)
Tracker-level fusion (TLF) is recognized as an effective approach to comprehensively improve visual object tracking performance by combining the capabilities of multiple baseline trackers. Although there is considerable interest in TLF, there are still challenges related to insufficient understanding, high cost, and unstable performance that...
master thesis 2023
document
Li, Z. (author), Rajan, R.T. (author)
Affine formation control of multiagent systems has recently received increasing attention in various applications. The distributed control of these agents, under single integrator dynamics, relies on the observations of relative positions of the neighboring agents, which when unavailable is detrimental to the mission. In this paper, we...
conference paper 2023
document
Viset, F.M. (author), Helmons, R.L.J. (author), Kok, M. (author)
Accurately estimating the positions of multi-agent systems in indoor environments is challenging due to the lack of Global Navigation Satelite System (GNSS) signals. Noisy measurements of position and orientation can cause the integrated position estimate to drift without bound. Previous research has proposed using magnetic field simultaneous...
conference paper 2023
document
Kodde, A.C. (author)
For many processes it is required to have a reliable view of an environment of interest. One way to achieve this is by performing a distributed Kalman filter. In this thesis, three distribution methods from different research backgrounds are implemented and evaluated using multiple metrics for use in a Gossip based wireless sensor network:...
master thesis 2012
Searched for: subject%3A%22distributed%255C+Kalman%255C+filter%22
(1 - 4 of 4)