Steering Empirical Data Extraction for Stable Automated Vehicle Turns

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Solution Overview

Problem

Current intelligent driving technologies face challenges in stabilizing steering operations, particularly in automatic lane changes and turns, due to reliance on general data that fails to account for complex information, leading to increased risk of accidents and reduced vehicle stability.

Innovation Solution

A method and device for extracting empirical data during stable steering operations, which processes and saves driving data to determine optimal steering angles and speeds, improving stability and safety by using this data in automatic driving processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If general data is used for steering determination in automatic driving, then the system is simple to operate, but the vehicle stability is reduced and accident risk increases

Engineering Contradiction:

Improvesteering operation simplicityVSAvoidvehicle stability

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system performs preliminary actions by collecting and storing empirical data from stable steering operations before automatic driving occurs. This pre-collected data includes steering angles, speeds, and vehicle states from manual driving, which are then used during automatic driving to improve reliability without complicating the operation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously monitoring vehicle states during manual steering operations and using this information to build empirical data. This feedback loop allows the system to learn from actual stable driving conditions and apply this knowledge during automatic driving, resolving the contradiction between simplicity and stability.

Inventive Principle:

Principle #23Feedback

2Speed

If maximum steering angles and speeds are not limited, then the steering response is fast and agile, but the vehicle may lose control and cause safety accidents

Engineering Contradiction:

Improvesteering response speedVSAvoidvehicle rollover risk

Core Design Contradiction:

SpeedVSObject-affected harmful factors

Solution Approach 1:

The system changes parameters by dynamically adjusting steering angles and speeds based on empirical data from stable operations. Instead of fixed limits, the system adapts parameters like maximum steering angle and speed according to actual vehicle conditions, maintaining both responsiveness and safety.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system applies beforehand cushioning by pre-establishing safety boundaries for steering angles and speeds based on empirical data. These pre-defined limits act as cushions that prevent the vehicle from entering unsafe states, allowing fast response within safe boundaries while preventing rollover risks.

Inventive Principle:

Principle #11Beforehand cushioning (Prior cushioning)

3Reliability

If empirical data from stable steering operations is collected and used, then the vehicle stability is improved, but the data processing complexity increases

Engineering Contradiction:

Improvevehicle stabilityVSAvoiddata processing system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system uses copying by creating a simplified representation of complex driving data in the form of empirical data. Instead of processing all raw sensor data during automatic driving, the system copies essential patterns from stable operations into pre-processed empirical data, reducing computational complexity while maintaining stability.

Inventive Principle:

Principle #26Copying

4Productivity

If the steering angle and speed are increased for faster lane changes, then the lane change efficiency is improved, but the vehicle stability is compromised

Engineering Contradiction:

Improvelane change efficiencyVSAvoidvehicle stability

Core Design Contradiction:

ProductivityVSStability of the object's composition

Solution Approach 1:

The system applies dynamics by making steering parameters adaptive rather than static. The empirical data enables the system to dynamically adjust steering angles and speeds based on actual vehicle conditions and road situations, allowing efficient lane changes while maintaining stability through real-time parameter optimization.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentEP3718845B1Method for extracting empirical data about vehicle travel and related device

Publication Date: 2024.01.10 HUNAN CSR TIMES ELECTRIC VEHICLE

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AI summary

A method for extracting empirical data about vehicle travel, comprising: acquiring driving data when a vehicle is traveling, and determining whether the vehicle is steering according to the driving data; when the vehicle is steering, determining whether the vehicle is in a steady state during the steering operation according to the driving data; and if yes, processing the driving data and saving the same as empirical data used in an automatic driving process. Single-structure steering data obtained during automatic driving may be avoided well by acquiring driving data during steady steering of the vehicle and using the driving data as empirical data about automatic driving, so that the steering process may also use the corresponding empirical data to make a determination for steering, thus improving the traveling and steering stability of the vehicle, and thereby maintaining safe travel of the vehicle. Further disclosed in the present application are a device for extracting empirical data about vehicle travel and the vehicle, which have the above-described advantageous effects.