Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization

23 July 2018

Papers citing "Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization"

6 / 6 papers shown

Title
Local Bayesian Optimization for Controller Tuning with Crash Constraints Alexander von Rohr David Stenger Dominik Scheurenberg Sebastian Trimpe 83 1 0 25 Nov 2024
Rao-Blackwellized POMDP Planning Jiho Lee Nisar R. Ahmed Kyle H. Wray Zachary Sunberg 21 1 0 24 Sep 2024
Exact Consistency Tests for Gaussian Mixture Filters using Normalized Deviation Squared Statistics Nisar Ahmed Luke Burks Kailah Cabral Alyssa Bekai Rose 24 2 0 29 Dec 2023
Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model David J. Yoon T. Barfoot 27 1 0 11 Mar 2023
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems Jonathan Kelly C. Grebe Matthew Giamou AI4TS 19 9 0 01 Jun 2021
GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking Zhen Li Sunzeng Cai Xiaoyi Wang Zhe Liu Nian Xue VOT 24 1 0 28 Dec 2020