Calibration Mathematics
Mathematical ideas and techniques commonly found in perception calibration
Dec 9, 2025
Plane Fitting, Part 2: Manifold Optimization, without Lie Groups
Oct 24, 2025
Narrow FOV Calibration Made Easy(er)
Jul 23, 2025
Plane Fitting, Part 1: A Different Way To Think about Plane Fitting
Nov 21, 2024
Camera Modeling, Part 5: The Deceptively Asymmetric Unit Sphere
Oct 15, 2024
Camera Modeling, Part 4: Pinhole Obsession
Jan 10, 2024
IMU Fundamentals, Part 5: Preintegration Basics
Dec 19, 2023
IMU Fundamentals, Part 4: Allan Deviation and IMU Error Modeling
Dec 6, 2023
IMU Fundamentals, Part 3: Stochastic Error Modeling
Nov 30, 2023
IMU Fundamentals, Part 2: Deterministic Error Modeling
Nov 27, 2023
IMU Fundamentals, Part 1: Introduction to IMUs
Apr 12, 2023
Camera Modeling, Part 3: Exploring Distortion and Distortion Models
Feb 20, 2023
Introduction to Optimization Theory
Apr 5, 2022
Projective Compensation in Calibration
Mar 8, 2022
Deriving Derivatives in Perception
Nov 24, 2021
Reverse-Engineering Fiducial Markers For Perception
Sep 30, 2021
Calibration Statistics: Accuracy Vs Precision
Aug 9, 2021
Camera Modeling, Part 2: Introducing Lens Distortion
Jun 10, 2021
Camera Modeling, Part 1: Focal Length & Collinearity
Jun 3, 2021
Calibration From Scratch Using Rust, Part 3: Application in Rust
Jun 1, 2021
Calibration From Scratch Using Rust, Part 2: Zhang's Method
May 28, 2021
Calibration From Scratch Using Rust, Part 1: Establishing Projection
Apr 8, 2021
Coordinate Frames for Multi-Sensor Systems, Part 2
Jan 21, 2021
Coordinate Frames for Multi-Sensor Systems, Part 1
Dec 7, 2020
Kalman Filters in Perception, Part 2
