Calibration Mathematics
Mathematical ideas and techniques commonly found in perception calibration
Nov 21, 2024
Camera Modeling, Part 2: The Deceptively Asymmetric Unit Sphere
Oct 15, 2024
Camera Modeling, Part 1: 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: Exploring Distortion and Distortion Models, Part III
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
Jun 10, 2021
Camera Modeling: Focal Length & Collinearity
Jun 3, 2021
Calibration From Scratch Using Rust: Part 3 of 3
Jun 1, 2021
Calibration From Scratch Using Rust: Part 2 of 3
May 28, 2021
Calibration From Scratch Using Rust: Part 1 of 3
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
