Alex ZapMar 2, 2024

#python
Object Tracking Sensitivity of #kalmanfilter to #noise #errors
#algorithm
#datascience #ai #machinelearning
#StateEstimation #automateddriving #autonomousvehicles
#drone #agriculture #agriculturedrone #drones #precisionagriculture

http://newdigitals.org/2024/03/02/object-tracking-qc-numerical-experiments-sensitivity-of-kalman-filter-to-data-noise-state-errors/

Object Tracking QC Numerical Experiments: Sensitivity of Kalman Filter to Data Noise & State Errors

Featured Foto by AtHul K Anand on Pexels The Kalman Filter (KF) is an optimal estimator with numerous applications in technology, especially in systems with Gaussian distributed noise. It has many …

Our Blogs
Buck BaskinOct 9, 2023
One of my favorite papers from IROS 2023 was "Navlie: A Python Package for State Estimation on Lie Groups". I enjoyed getting to chat with the author and am excited because the package provides #Python implementations of estimators (including Kalman filters). I look forward to following the development of the package
Docs: https://decargroup.github.io/navlie/_build/html/index.html
#robotics #stateestimation #kalmanfilter #iros #IROS2023
Welcome to navlie! — navlie 0.1.0 documentation