ADB Simulation Images Using Map Terrain and Relative Vehicle Speed
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Solution Overview
Problem
Conventional ADB system evaluation methods require actual road measurement data for generating simulation images, leading to time and cost inefficiencies, and fail to accurately reflect real-world driving conditions such as relative vehicle speeds and terrain variations, limiting the precision of glare index evaluation.
Innovation Solution
A simulation image generation method and system that uses map information to calculate simulation object information, including brightness and size of vehicle lamps, based on relative speeds and terrain conditions, allowing for accurate ADB evaluation without actual road measurement data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simulation images are generated using actual road measurement data, then measurement precision is improved, but loss of time and loss of substance increase due to excessive time and money consumption
Solution Approach 1:
The patent creates virtual copies of road environments, vehicles, and lighting conditions through simulation instead of using actual road measurement data. Virtual road information, virtual vehicle information, and virtual lighting information are generated to replicate real-world scenarios without requiring physical road trips for data collection
Solution Approach 2:
The simulation system generates its own test data and evaluation scenarios independently without requiring external road measurement campaigns. The system self-sufficiently creates diverse driving conditions, vehicle configurations, and environmental parameters through computational methods
2Measurement precision
If simulation images are generated using actual road measurement data, then measurement precision is improved, but loss of money increases due to excessive time and money consumption
Solution Approach 1:
The patent creates virtual copies of road environments, vehicles, and lighting conditions through simulation instead of using actual road measurement data. Virtual road information, virtual vehicle information, and virtual lighting information are generated to replicate real-world scenarios without requiring physical road trips for data collection
Solution Approach 2:
The simulation system generates its own test data and evaluation scenarios independently without requiring external road measurement campaigns. The system self-sufficiently creates diverse driving conditions, vehicle configurations, and environmental parameters through computational methods
3Device complexity
If conventional ADB evaluation methods are used, then device complexity is reduced, but measurement precision deteriorates due to inability to express complex driving situations
Solution Approach 1:
The patent divides the evaluation system into distinct modular components: virtual road information generation, virtual vehicle information generation, virtual lighting information generation, and glare index calculation. Each module handles specific aspects of the driving scenario independently, allowing complex evaluations to be broken down into manageable segments
Solution Approach 2:
The simulation system dynamically adjusts multiple parameters including relative vehicle speed, separation distance, road curvature, terrain height, and lighting conditions to accurately represent varying driving situations. The system can adapt to different driving scenarios by modifying these dynamic parameters
4Device complexity
If simple preceding vehicle appearance/disappearance conditions are used, then device complexity is reduced, but measurement precision deteriorates due to inability to reflect actual road driving conditions
Solution Approach 1:
The patent divides the evaluation system into distinct modular components: virtual road information generation, virtual vehicle information generation, virtual lighting information generation, and glare index calculation. Each module handles specific aspects of the driving scenario independently, allowing complex evaluations to be broken down into manageable segments
Solution Approach 2:
The simulation system dynamically adjusts multiple parameters including relative vehicle speed, separation distance, road curvature, terrain height, and lighting conditions to accurately represent varying driving situations. The system can adapt to different driving scenarios by modifying these dynamic parameters
Data Source
AI summary
The present invention relates to a technology for collecting map information including terrain information through a collectible open map service without actual road measurement information and generating a simulation image by processing an image reflecting a type, a terrain condition, and the like of a road.