Vehicle Control Using Adaptive Road-Info Resolution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems face challenges in accurately determining the reliability of road information acquired from external servers, especially in locations with significant time-dependent variations in road conditions, leading to potential inaccuracies in vehicle control.
Innovation Solution
A vehicle control device that assesses the reliability of road information based on determining information representing locations with large variations in road conditions, interpreting the information at a lower resolution when reliability is low, and generating control plans accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle uses high-resolution road information for control decisions, then the control precision is improved, but the reliability of control decisions deteriorates when road conditions vary significantly over time
Solution Approach 1:
The system dynamically adjusts the resolution of road information interpretation based on real-time reliability assessment. When road conditions are stable, high-resolution interpretation is used for precise control. When conditions vary significantly, the system switches to lower-resolution interpretation to maintain reliable control decisions, making the resolution adaptive rather than fixed.
Solution Approach 2:
The system changes the parameter of information resolution based on the assessed reliability of road conditions. By modifying the resolution parameter dynamically, the system optimizes the balance between control precision and decision reliability according to current road condition stability.
2Loss of information
If the vehicle relies on road information from external servers, then the awareness of road conditions ahead is improved, but the accuracy of road condition data deteriorates in locations with large time-dependent variations
Solution Approach 1:
The system uses feedback from reliability determination about road condition stability to adjust how external road information is interpreted. When feedback indicates high variability, the system adjusts its interpretation strategy to account for potential inaccuracies, maintaining awareness while compensating for data accuracy issues.
Solution Approach 2:
The system performs preliminary reliability assessment of road information before using it for control decisions. By evaluating the stability of road conditions in advance, the system prepares appropriate interpretation strategies, ensuring accurate awareness of road conditions while accounting for potential data inaccuracies due to time-dependent variations.
3Measurement precision
If the vehicle interprets road information at high resolution, then the detail of road condition information is improved, but the robustness of vehicle control deteriorates when road information reliability is low
Solution Approach 1:
The system dynamically adjusts the interpretation resolution based on reliability assessment to maintain robust control. When road information is reliable, high-resolution interpretation provides detailed information for precise control. When reliability is low, the system reduces resolution to prevent detailed but potentially inaccurate information from compromising control stability.
Solution Approach 2:
The system changes the resolution parameter of information interpretation based on reliability conditions. This parameter adjustment ensures that the system maintains robust control by adapting the level of detail in information processing to match the confidence level in the data accuracy.
Data Source
AI summary
A vehicle control device has a processor configured to acquire road information for a location outside of a detection range of a sensor mounted in a vehicle, to determine whether reliability of the road information is high or low, based on determining information representing a location with a large degree of variation in road condition, to decide to interpret the road information at a lower resolution when it has been determined that the reliability of the road information is low, and to generate a plan to control the vehicle based on the road information that has been interpreted at lower resolution, when it has been decided to interpret the road information at a lower resolution.