Vehicle Camera Pitch Estimation with Drift-Resistant Image Fusion

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Solution Overview

Problem

Existing methods for dynamically estimating the pitch and roll of a vehicle-mounted camera fail to accurately track rapid angular changes due to dynamic pitch and roll, leading to miscalculations that affect the precise determination of surrounding objects, potentially disabling certain driver assistance system functions.

Innovation Solution

A method that combines two complementary approaches to estimate pitch: integrating relative motion with an anti-divergence coefficient and recognizing road markings, refining the estimate based on quality thresholds and comparison with calibration angles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple sensors (accelerometers, gyroscopes, magnetometers) are used to determine vehicle pitch, then measurement reliability is improved, but device complexity and cost increase

Engineering Contradiction:
Improvemeasurement reliabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical sensor systems (accelerometers, gyroscopes, magnetometers) with an optical measurement system using an image capture sensor. The pitch angle is determined by capturing images of the vehicle interior and using image processing algorithms to calculate the pitch angle from the geometric relationships between detected features, thereby eliminating the need for multiple complex sensors.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent uses an image capture sensor to create a visual copy of the vehicle interior state, from which pitch information is extracted through image processing. This optical copy approach replaces direct physical measurement with sensor arrays, simplifying the hardware while maintaining measurement capability.

Inventive Principle:
Principle #26Copying

2Measurement precision

If multiple sensors are used to determine vehicle pitch, then measurement precision is improved, but manufacturing cost increases

Engineering Contradiction:
Improvepitch measurement precisionVSAvoidmanufacturing cost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent replaces expensive multiple sensor systems with a single image capture sensor and processing unit. The pitch measurement is achieved through optical means and computational algorithms, significantly reducing component count and manufacturing cost while maintaining measurement precision through image processing techniques.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Speed

If pitch determination is performed continuously, then responsiveness to pitch changes is improved, but energy consumption increases

Engineering Contradiction:
Improvepitch detection speedVSAvoidenergy consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The patent implements periodic pitch determination by capturing images at defined intervals or when specific conditions are met (e.g., when pitch change exceeds a threshold). This periodic operation maintains system responsiveness to pitch changes while avoiding continuous processing, thereby reducing energy consumption compared to continuous measurement systems.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentEP4430569B1Method for the dynamic estimation of the pitch of a motor vehicle by means of an image capture sensor
Publication Date: 2026.04.29 AUMOVIO AUTONOMOUS MOBILITY GERMANY GMBH
  • EP4430569B1 patent drawingFigure 1
  • EP4430569B1 patent drawingFigure 2
  • EP4430569B1 patent drawingFigure 3

AI summary

The invention relates to a method for estimating the pitch of a motor vehicle (10) by means of an image capture sensor (12) aboard said motor vehicle (10). The method is characterised in that it comprises at least a first estimation step, which consists in estimating a first pitch angle of the sensor (12) according to a first estimation method that integrates a drift avoidance coefficient to limit the drift of the estimation of the first pitch angle, a second estimation step, which consists in estimating a second pitch angle of the sensor (12) according to a second estimation method, and a fourth step, which consists in refining said first pitch angle by increasing the drift avoidance coefficient to obtain a refined first pitch angle, considered to be the output angle, if at least one first condition is validated.