Vehicle Road Information Fusion for Stable Curved-Road Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems face challenges in accurately determining road information, especially on roads with large curvature, due to errors in satellite positioning and erroneous detection by front cameras, leading to unstable autonomous driving control.
Innovation Solution
A vehicle control device that combines road information from periphery monitoring sensors with map information, comparing and determining the accuracy of road information using a threshold deviation to ensure stable vehicle control, utilizing a first road information storage unit, a second road information acquiring unit, a road information comparing unit, and a road information determining unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If road information is acquired by front camera on roads with large curvature, then the system can obtain real-time visual data, but the detection accuracy deteriorates making it difficult to acquire accurate road information
Solution Approach 1:
The patent combines map information (second road information) with real-time sensor data (first road information) to create a hybrid navigation system. By merging these two information sources, the system overcomes the limitation of camera-based detection on high-curvature roads while maintaining real-time adaptability.
Solution Approach 2:
The patent introduces an intermediary comparison mechanism that evaluates the reliability of real-time sensor data against map information. When sensor detection is unreliable (e.g., on high-curvature roads), the system uses map information as an intermediary reference to determine accurate road geometry.
2Reliability
If satellite positioning information is used to estimate own-vehicle position, then the system can obtain location data, but positioning errors increase leading to erroneous position estimation
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously compares estimated position (from satellite positioning) with expected position (from map information and sensor data). When discrepancies exceed a threshold, the system adjusts the position estimation, correcting satellite positioning errors through feedback from multiple other sources.
Solution Approach 2:
The patent performs preliminary validation of satellite positioning data by comparing it with map information before using the position data for navigation decisions. This preliminary check prevents erroneous position estimation from propagating through the system.
3Reliability
If multiple information sources are compared to determine road information accuracy, then the reliability of road information improves, but the system complexity increases
Solution Approach 1:
The patent segments the road information validation process into distinct functional modules: a first acquisition unit for sensor data, a second acquisition unit for map information, a comparison unit for evaluating discrepancies, and a determination unit for selecting reliable information. This segmentation manages complexity by organizing the multi-source comparison into modular, manageable components.
Data Source
AI summary
A vehicle control device comprises a first road information storage unit to store first road information detected using periphery monitoring sensor that monitors periphery of an own-vehicle, a second road information acquiring unit to acquire second road information based on map information, a road information comparing unit to compare the first road information and the second road information, and a road information determining unit to determine road information on the basis of the comparison result by the road information comparing unit.