Calibration Mathematics
Mathematical ideas and techniques commonly found in perception calibration
Plane Fitting, Part 2: Manifold Optimization, without Lie Groups
Narrow FOV Calibration Made Easy(er)
Plane Fitting, Part 1: A Different Way To Think about Plane Fitting
Camera Modeling, Part 5: The Deceptively Asymmetric Unit Sphere
Camera Modeling, Part 4: Pinhole Obsession
IMU Fundamentals, Part 5: Preintegration Basics
IMU Fundamentals, Part 4: Allan Deviation and IMU Error Modeling
IMU Fundamentals, Part 3: Stochastic Error Modeling
IMU Fundamentals, Part 2: Deterministic Error Modeling
IMU Fundamentals, Part 1: Introduction to IMUs
Camera Modeling, Part 3: Exploring Distortion and Distortion Models
Introduction to Optimization Theory
Projective Compensation in Calibration
Deriving Derivatives in Perception
Reverse-Engineering Fiducial Markers For Perception
Calibration Statistics: Accuracy Vs Precision
Camera Modeling, Part 2: Introducing Lens Distortion
Camera Modeling, Part 1: Focal Length & Collinearity
Calibration From Scratch Using Rust, Part 3: Application in Rust
Calibration From Scratch Using Rust, Part 2: Zhang's Method
Calibration From Scratch Using Rust, Part 1: Establishing Projection
Coordinate Frames for Multi-Sensor Systems, Part 2
Coordinate Frames for Multi-Sensor Systems, Part 1
Kalman Filters in Perception, Part 2
