Simulation Scenario Generation Using Interactive Obstacle Behavior

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Solution Overview

Problem

Current methods for generating autonomous driving simulation scenarios are limited by their dependence on real road test data, resulting in insufficient variety and diversity, which hinders effective testing and improvement of the autonomous driving planning and control system.

Innovation Solution

A method involving the generalization of traffic scenarios and conversion of obstacle behavior to generate diverse simulation scenarios, using a traffic scenario generalization model and behavior model allocator, allowing for the creation of interactive scenarios without the need for multiple road tests.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If simulation scenarios are constructed by reproducing real road test scenarios or one-to-one replacing obstacles, then the authenticity of simulation scenarios is improved, but the diversity and variety of simulation scenarios deteriorate

Engineering Contradiction:

Improveauthenticity of simulation scenariosVSAvoiddiversity of simulation scenarios

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent uses obstacle behavior models to create virtual copies of real obstacles that replicate their behavioral patterns rather than just their physical appearance. These copied behavioral patterns allow obstacles to interact realistically with the autonomous vehicle while enabling diverse scenario generation through model variation and combination

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent changes key parameters of obstacle behavior models including motion patterns, interaction rules, and environmental responses. By adjusting these parameters, the system generates diverse simulation scenarios from a limited set of real road test data while maintaining authentic behavioral characteristics

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If multiple road tests are conducted to obtain sufficient road test data, then the diversity of simulation scenarios is improved, but the time consumption and cost increase

Engineering Contradiction:

Improvediversity of simulation scenariosVSAvoidalgorithm iteration cycle

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent performs preliminary generalization of road test data into obstacle behavior models before simulation testing. This preprocessing step extracts essential behavioral patterns from limited real data, enabling the generation of diverse simulation scenarios without requiring multiple additional road tests

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent uses computationally efficient obstacle behavior models that can be rapidly instantiated and modified. These lightweight models allow extensive scenario generation and algorithm iteration without the high time and resource costs of actual road testing

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

3Adaptability or versatility

If obstacle behavior is converted into interactive behavior, then the interactivity of simulation scenarios is improved, but the complexity of behavior modeling increases

Engineering Contradiction:

Improveinteractivity of simulation scenariosVSAvoidcomplexity of behavior modeling

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments obstacle behavior into distinct modular components including motion models, interaction rules, and environmental responses. This segmentation allows complex interactive behaviors to be constructed from simpler, independently manageable modules, reducing overall modeling complexity while maintaining interactivity

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260030408A1Method and apparatus for generating simulation scenario data, and device

Publication Date: 2026.01.29 HUAWEI TECH CO LTD

AI summary

A method and an apparatus for generating simulation scenario data, to improve diversity of simulation scenario data, are described. The method includes obtaining road test data collected when an autonomous driving vehicle carries out a traveling test on a real road. The method also includes obtaining generalized road test data, and converting obstacle behavior in the generalized road test data into interactive behavior, to obtain simulation scenario data.