Vehicle Road Recognition Control Using Multi-Source Accuracy Voting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional vehicle control systems face reliability issues in road recognition due to errors in sensing-based road information, assuming it is always correct.
Innovation Solution
A vehicle control system that compares road information from a map, vehicle behavior, and external world recognition sensors to determine accuracy through a majority vote among multiple methods, correcting and storing information for improved reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If road information based on sensing is assumed to be correct at all times, then the system operates simply and quickly, but the reliability of road recognition reduces when the sensed information contains errors
Solution Approach 1:
The patent merges three different road information sources (map-based, vehicle behavior-based, and sensor-based) into a unified recognition system. By combining multiple information sources and comparing them against each other, the system achieves higher reliability in road recognition while managing complexity through systematic integration of these sources.
Solution Approach 2:
The system implements feedback by continuously comparing sensor-based road information with map-based and vehicle behavior-based information. When discrepancies are detected, the system uses the comparison results to determine accuracy and correct errors, creating a closed-loop feedback mechanism that improves reliability without requiring overly complex processing.
2Reliability
If multiple road information sources are compared to determine accuracy, then the reliability of road recognition improves, but the processing complexity and time increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing the framework for comparing multiple road information sources and determining their accuracy. The control device is pre-configured to receive and process information from map databases, vehicle behavior detectors, and external world recognition sensors, allowing rapid accuracy determination when needed without excessive processing delays.
Solution Approach 2:
The system changes parameters by dynamically adjusting which information sources are weighted more heavily based on their determined accuracy. The control device modifies processing parameters according to the reliability assessment of each information source, optimizing the balance between comprehensive comparison and processing efficiency.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present invention provides a vehicle control apparatus, a vehicle control method, and a vehicle control system capable of improving reliability of road recognition. The vehicle control apparatus includes a first road information acquisition portion configured to acquire first road information based on information regarding a map, a second road information acquisition portion configured to acquire second road information based on a vehicle behavior, a third road information acquisition portion configured to acquire third road information based on information recognized by an external world recognition sensor, a road information comparison portion configured to compare the first road information, the second road information, and the third road information acquired from the first, second, and third road information acquisition portions, respectively, and a road information determination portion configured to determine accuracy of each of the first road information, the second road information, and the third road information based on a result of the comparison by the road information comparison portion.