/state_estimation_cg

state estimation for slam

Primary LanguageC++

State Estimation


[TOC]

1. Probability Theory and Statistics

MLE, MAP & MLS

  • MLE (Maximum Likelihood Estimate)
    • 模型已定,参数未知:找出一组参数,使得模型产生出观测数据的概率最大,即找出一组能使似然函数最大的参数
  • MAP (Maximum A Posteriori)
  • MLS (Minimum Least Squares)

RANSAC

  • RANSAC (RANdom SAmple Consensus)

M-Estimator

  • M-estimators
  • MLESAC: A New Robust Estimator with Application to Estimating Image Geometry

Probabilistic Graphical Models

Factor Graph

Bayesian Network

2. Filters

Kalman Filter

  • KF (Kalman Filter)
  • EKF (Extended Kalman Filter)

3. Optimization

Basics

  • Gauss Newton
  • Levenberg-Marquadt
  • ESM

Optimizer

Pose Graph

Bundle Adjustment

Sparse Hessian matrix :

4. Dataset

BAL Dataset

  • Bundle Adjustment in the Large

g2o Dataset

5. Books