A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry

14 March 2022

Papers citing "A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry"

8 / 8 papers shown

Title
Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling Stavrow A. Bahnam C. De Wagter Guido de Croon 49 0 0 30 Apr 2025
Gaussians on their Way: Wasserstein-Constrained 4D Gaussian Splatting with State-Space Modeling Junli Deng Yihao Luo 3DGS 66 0 0 30 Nov 2024
Causal Transformer for Fusion and Pose Estimation in Deep Visual Inertial Odometry Yunus Bilge Kurt Ahmet Akman Aydin Alatan ViT 18 2 0 13 Sep 2024
iRoCo: Intuitive Robot Control From Anywhere Using a Smartwatch F. Weigend Xiao Liu Shubham D. Sonawani Neelesh Kumar Venu Vasudevan H. B. Amor 21 3 0 11 Mar 2024
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters Xinyu Liu Geoffrey Clark Joseph Campbell Yifan Zhou H. B. Amor 23 10 0 19 Aug 2023
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry Ying Xu Guido de Croon BDL 27 5 0 30 Aug 2022
Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics Sen Zhang Jing Zhang Dacheng Tao MDE 19 30 0 11 Jul 2022
How to Train Your Differentiable Filter Alina Kloss Georg Martius Jeannette Bohg 36 46 0 28 Dec 2020