Robots State Estimation and Observability Analysis Based on Statistical
Motion Models

Robots State Estimation and Observability Analysis Based on Statistical Motion Models

12 October 2020

Dongjiao He

Yixi Cai

Fu Zhang

Papers citing "Robots State Estimation and Observability Analysis Based on Statistical Motion Models"

8 / 8 papers shown

Title
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV Jiarong Lin Fu Zhang 39 280 0 15 Sep 2019
Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories Matthias Faessler Antonio Franchi Davide Scaramuzza 42 309 0 06 Dec 2017
Quaternion kinematics for the error-state Kalman filter J. Solà 48 491 0 03 Nov 2017
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator Tong Qin Peiliang Li Shaojie Shen 63 3,338 0 13 Aug 2017
Cascaded Incremental Nonlinear Dynamic Inversion Control for MAV Disturbance Rejection Ewoud J. J. Smeur Guido de Croon Q. Chu 21 120 0 25 Jan 2017
On-Manifold Preintegration for Real-Time Visual-Inertial Odometry Christian Forster Luca Carlone F. Dellaert Davide Scaramuzza 72 1,101 0 08 Dec 2015
On Á Kalman Filter-Based Algorithm for IMU-Camera Calibration: Observability Analysis and Performance Evaluation' Yuanxin Wu 56 221 0 18 Nov 2013
Integrating Generic Sensor Fusion Algorithms with Sound State Representations through Encapsulation of Manifolds Christoph Hertzberg R. Wagner Udo Frese Lutz Schröder 90 287 0 06 Jul 2011