Vehicle Curve Speed Control Using Filtered Map Curvature
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Solution Overview
Problem
Current driver assistance systems inaccurately perceive curve curvature due to flawed map information, leading to inappropriate vehicle acceleration and deceleration, compromising vehicle comfort and safety.
Innovation Solution
A method and system that iteratively filters map data to correct inaccuracies by removing pairs that violate specific conditions, ensuring a consistent turn representation for smooth speed management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If map information is used to manage vehicle speed in curves, then autonomous speed management is enabled, but inaccuracies in map data cause inappropriate acceleration and deceleration
Solution Approach 1:
The patent applies preliminary action by performing iterative filtering on map data before using it for speed management. The system pre-processes the cartographic information to remove inaccurate curvature measurements, ensuring that the speed control algorithm receives cleaned, reliable data. This preliminary processing step prevents inappropriate acceleration and deceleration by eliminating erroneous map data points that would otherwise cause incorrect speed adjustments.
2Measurement precision
If map data is filtered to remove inaccuracies, then speed control accuracy improves, but processing time increases
Solution Approach 1:
The patent applies partial action by implementing iterative filtering that removes only the excessive or erroneous data points from the map information. Rather than reprocessing all data, the system identifies and removes specific pairs that cause inaccuracies in curvature measurement. This selective filtering approach maintains measurement precision while minimizing processing time by focusing only on correcting problematic data points.
3Manufacturing precision
If iterative filtering is applied to map sequences, then curve profile accuracy improves, but system complexity increases
Solution Approach 1:
The patent applies segmentation by breaking down the complex filtering task into discrete, manageable iterations. The system processes the map data sequence in steps, analyzing and removing erroneous pairs one at a time through multiple passes. This segmented approach to filtering improves curve profile accuracy by systematically eliminating inaccuracies while keeping each individual processing step simple and computationally efficient.
Data Source
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AI summary
The invention relates to a method for managing the speed of a motor vehicle going around a bend, on a system (100) that carries out said method, and in a motor vehicle which comprises such a system.