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"

7 / 7 papers shown

Title
Local Bayesian Optimization for Controller Tuning with Crash Constraints Alexander von Rohr David Stenger Dominik Scheurenberg Sebastian Trimpe 123 2 0 25 Nov 2024
Rao-Blackwellized POMDP Planning Jiho Lee Nisar R. Ahmed Kyle H. Wray Zachary Sunberg 82 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 44 2 0 29 Dec 2023
Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits Siddharth Ancha Gaurav Pathak Ji Zhang S. Narasimhan David Held 61 1 0 24 Feb 2023
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems Jonathan Kelly C. Grebe Matthew Giamou AI4TS 42 9 0 01 Jun 2021
A Review of Testing Object-Based Environment Perception for Safe Automated Driving Michael Hoss Maike Scholtes L. Eckstein 76 50 0 16 Feb 2021
GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking Zhen Li Sunzeng Cai Xiaoyi Wang Yanfeng Guo Nian Xue VOT 67 1 0 28 Dec 2020