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MaRS: A Modular and Robust Sensor-Fusion Framework
Created
2021-04-07
229 commits to main branch, last one about a month ago
State estimation, smoothing and parameter estimation using Kalman and particle filters.
controls
estimation
kalman-filter
control-systems
particle-filter
virtual-sensing
virtual-sensors
state-estimation
data-assimilation
dynamical-systems
bayesian-inference
monte-carlo-methods
parameter-estimation
system-identification
extended-kalman-filter
sequential-monte-carlo
prediction-error-method
unscented-kalman-filter
state-estimation-filters
state-estimation-algorithms
Created
2018-02-17
440 commits to master branch, last one 2 days ago
Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.
Created
2020-04-26
8 commits to master branch, last one 3 years ago
A ROS wrapper for the MaRS Library
Created
2021-04-07
111 commits to main branch, last one about a month ago
Matlab implementations of various multi-sensor labelled multi-Bernoulli filters
glmb-filter
kalman-filter
gibbs-sampling
object-tracking
state-estimation
multi-sensor-lmbm
random-finite-set
multi-sensor-fusion
parallel-update-lmb
multi-object-tracker
geometric-average-lmb
multi-object-tracking
iterated-corrector-lmb
arithmetric-average-lmb
geometric-average-fusion
labelled-multi-bernoulli
loopy-belief-propagation
state-estimation-filters
arithmetic-average-fusion
multi-object-bayes-filter
Created
2022-07-07
21 commits to main branch, last one about a year ago