Commercial Vehicle Camera Sensing for Standstill and Low-Speed Detection

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Solution Overview

Problem

Existing methods for determining driving dynamics of commercial vehicle combinations, such as relative yaw and roll angles, are complex, expensive, and inefficient, particularly in detecting vehicle speed and standstill conditions.

Innovation Solution

The method involves using image processing devices with cameras attached to commercial vehicles to extract driving dynamic information by analyzing camera images, allowing for the determination of relative yaw and roll angles, and detecting vehicle movement or standstill through optical flow analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If specially designed and positioned sensors are used to determine vehicle dynamics, then measurement precision is improved, but device complexity and cost increase

Engineering Contradiction:

Improvevehicle dynamics measurementVSAvoidsensor system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical sensor systems with an optical system using cameras and image processing algorithms. Instead of using specialized sensors to directly measure yaw angle and other vehicle dynamics parameters, the system captures images with cameras and calculates the parameters through image analysis, thereby reducing device complexity while maintaining measurement capability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates a visual copy of the vehicle's physical state through camera images. By capturing the position and orientation of vehicle components in images and analyzing these visual copies, the system determines actual vehicle dynamics parameters without requiring direct physical measurement sensors

Inventive Principle:

Principle #26Copying

2Reliability

If traditional sensor systems are used to determine driving dynamics, then reliability is improved, but cost increases

Engineering Contradiction:

Improvedriving dynamics determinationVSAvoidsystem cost

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent uses standard cameras and image processing techniques instead of expensive specialized sensors. The system processes visual information through software algorithms, replacing costly hardware with more affordable components while maintaining the reliability of driving dynamics determination

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Solution Approach 2:

The patent makes existing camera systems multi-functional by enabling them to perform both their original function and driving dynamics measurement. The same cameras used for general vehicle monitoring are also utilized for determining yaw angle and other dynamics parameters, eliminating the need for separate specialized sensors and reducing overall system cost

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Loss of information

If complex sensor systems are deployed to capture all driving dynamics parameters, then measurement completeness is improved, but ease of operation deteriorates

Engineering Contradiction:

Improvedriving dynamics informationVSAvoidsystem operation

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The patent extracts the necessary driving dynamics information from complex scene images through image processing. By using algorithms to identify and extract specific features (such as vehicle component positions and orientations) from the captured images, the system obtains complete driving dynamics parameters while keeping the operation simple and automated

Inventive Principle:

Principle #2Taking out (Extraction)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables the quick, reliable, and cost-effective acquisition of driving dynamics information, enhancing driver assistance systems with accurate yaw and roll angle calculations and vehicle movement detection, improving driving safety and stability.

Implementation Method 1

detecting a relative movement or a standstill between the commercial vehicle combination and a detected background, in particular a roadway, from a camera image using an optical flow of the image processing device

Methodology Applied

Scientific EffectOptical flow:

Data Source

PatentEP3351451B1Method and driver assistance system for determining dynamic driving states in a commercial vehicle

Publication Date: 2024.05.01 MAN TRUCK & BUS SE

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AI summary

The invention relates to a method for determining driving dynamics states of a commercial vehicle, wherein at least one driving dynamics information about the commercial vehicle is extracted from the camera image (10, 15) of at least one camera (6, 7) of the commercial vehicle by means of an image processing device. According to the invention, information is a vehicle standstill and/or a low rolling speed and this is determined in such a way that from a camera image (10, 15) a relative movement or a standstill between the commercial vehicle combination (1) and recognized a detected background and the determined state is used in a driver assistance system.