Vehicle Control Strategy Adaptation via Feedback Mechanism

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Solution Overview

Problem

Current autonomous driving technologies face challenges in smoothness, stability, and adaptability due to limited training data, leading to poor performance in changing road environments and varying driving habits.

Innovation Solution

A vehicle controlling method that determines current vehicle status, road conditions, and environment information using sensors, processes this data through a preset control strategy model to generate an operating strategy, adjusts the strategy based on executing mechanism status, and updates the strategy when preset conditions are not met, improving adaptability and stability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a preset control strategy model is used to generate operating strategies, then the autonomous driving control can be implemented, but the smoothness and stability are poor under new running scenarios due to limited training data

Engineering Contradiction:

Improveadaptability to new running scenariosVSAvoidsmoothness and stability of control

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements a feedback mechanism by comparing the generated first operating strategy with the current second operating strategy, detecting status adjustment modes of executing mechanisms, and adjusting the first operating strategy when preset conditions are not met. This closed-loop feedback ensures stable transitions between different driving strategies while adapting to new scenarios.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent dynamically adjusts the operating strategy by determining status adjustment modes of executing mechanisms and modifying the first operating strategy based on whether preset conditions are met. This dynamic adjustment allows the system to adapt to changing running scenarios while maintaining control stability through controlled transition patterns.

Inventive Principle:

Principle #15Dynamics

2Device complexity

If the control strategy is generated based on limited training data, then the system complexity is reduced, but the adaptability to changing road environments and varying driving habits deteriorates

Engineering Contradiction:

Improvecomplexity of control strategy modelVSAvoidadaptability to changing road environments

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent performs preliminary action by pre-processing the first operating strategy to determine status adjustment modes of executing mechanisms before actual implementation. This preliminary analysis allows the system to anticipate and prepare for transitions, improving adaptability to changing environments without requiring a overly complex model.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes parameters by adjusting the first operating strategy based on detected status adjustment modes and preset condition evaluations. This parameter adjustment mechanism enables the system to adapt to varying driving habits and road environments by modifying control parameters rather than requiring a completely different control model.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If the operating strategy is adjusted frequently to improve adaptability, then the adaptability to new scenarios improves, but the stability and smoothness of vehicle control deteriorates

Engineering Contradiction:

Improveadaptability to new running scenariosVSAvoidstability of vehicle control

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The patent applies preliminary anti-action by evaluating whether status adjustment modes meet preset conditions before implementing strategy adjustments. This preliminary verification prevents inappropriate or excessive adjustments that would compromise stability, while still allowing necessary adaptations to new scenarios.

Inventive Principle:

Principle #9Preliminary anti-action

Solution Approach 2:

The patent uses feedback to monitor the consistency between the first operating strategy and current vehicle state, adjusting the strategy only when preset conditions are met. This feedback mechanism ensures that adaptability improvements do not come at the cost of control stability and smoothness.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11614737B2Vehicle controlling method and apparatus, computer device, and storage medium

Publication Date: 2023.03.28 APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD

AI summary

A vehicle controlling method is provided, which may include: determining current vehicle status information, road condition information and environment information of a road on which the vehicle runs according to data collected by vehicle sensors; processing the current vehicle status information, the road condition information and the environment information according to a preset control strategy model to generate a first operating strategy of the vehicle within a preset time period; determining status adjustment modes of executing mechanisms of the vehicle according to the first operating strategy within the preset time period and a current second operating strategy of the vehicle; and adjusting the first operating strategy when the status adjustment mode of at least one executing mechanism does not meet a preset condition.