Multi-pattern Calibration Rig for Robust Camera Alignment

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional camera calibration methods for autonomous vehicles are time-consuming and prone to errors due to the need for multiple images and precise positioning of calibration patterns, and are not robust against noise and illumination variations.

Innovation Solution

A multi-pattern calibration rig with repetitive patterns is used, allowing a single image capture of multiple patterned panels, which are pre-processed to segment and filter contours, grouping them based on similarity to determine their positions without requiring precise positioning or orientation, thus enabling efficient and robust camera calibration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional camera calibration methods using multiple images and precise positioning are used, then measurement precision is improved, but time consumption and operational complexity increase significantly

Engineering Contradiction:
Improvecamera calibration precisionVSAvoidcalibration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent merges multiple calibration patterns into a single integrated calibration target that can be captured in one image. Instead of requiring multiple separate images of calibration patterns from different views, the invention combines multiple patterns (e.g., checkerboards, ellipses, or other geometric shapes) onto one target structure, allowing the camera to capture all necessary calibration information simultaneously in a single shot, thereby dramatically reducing calibration time while maintaining precision

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The calibration target is segmented into multiple distinct patterns or geometric shapes that can be independently detected and processed. Each pattern (checkerboard, ellipse, or other shape) provides specific calibration information, and the system processes these segmented patterns to extract multiple camera parameters from a single image capture, enabling precise calibration without requiring multiple sequential images

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If conventional corner detection algorithms are used to locate calibration objects, then detection accuracy is improved, but the system becomes vulnerable to illumination variation and noise

Engineering Contradiction:
Improvecalibration pattern detection accuracyVSAvoiddetection robustness against noise and illumination variation
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent employs asymmetric or distinctive geometric patterns (such as ellipses, circles, or non-standard checkerboard configurations) that have unique shape properties making them easily distinguishable from background noise and invariant to illumination changes. These asymmetric patterns provide robust detection features that conventional symmetric corner detection algorithms cannot reliably identify under varying lighting conditions

Inventive Principle:
Principle #4Asymmetry

Solution Approach 2:

The calibration patterns utilize high-contrast color or intensity variations (such as black-and-white checkerboards, colored ellipses, or patterns with distinct luminance differences) that create strong visual signals easily detectable by image processing algorithms. These color-based patterns remain recognizable despite illumination variations, as the relative contrast between pattern elements maintains detection accuracy

Inventive Principle:
Principle #32Color changes

3Reliability

If multiple calibration patterns are captured individually and processed separately, then detection reliability is improved, but device complexity and operational complexity increase

Engineering Contradiction:
Improvepattern detection reliabilityVSAvoidcalibration system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines multiple calibration patterns onto a single integrated target structure that can be captured in one image. This merged calibration target reduces the number of separate capture operations, minimizes the complexity of positioning and repositioning procedures, and simplifies the overall calibration workflow while maintaining the reliability of detecting multiple patterns through their distinct geometric features

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentEP3649617B1Method, system and computer-readable medium for camera calibration
Publication Date: 2021.12.22 AIMOTIVE KFT
  • EP3649617B1 patent drawingFigure 1A
  • EP3649617B1 patent drawingFigure 1B~1C
  • EP3649617B1 patent drawingFigure 1D

AI summary

The invention provides a method, a system and a computer-readable medium for calibrating a camera by using a multi -pattern calibration rig, each pattern (123) being repetitive and comprising calibration shapes (124), the method comprising the steps of - capturing an image (126) of the multi-pattern calibration rig with the camera, - segmenting contours of the imaged calibration shapes (124), - building groups of coherent contours based on a similarity of their shapes and their distances from each other, and - identifying a position of each pattern (123) in the image (126) based on the contour groups.