Vehicle Positioning with Corrected Odometry in Map-Gap Areas
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Solution Overview
Problem
Current satellite-based navigation systems for vehicles face limitations such as signal interference, accuracy issues for precise navigation, and high costs associated with creating and updating high-resolution digital maps for accurate localization.
Innovation Solution
A method and device for determining a vehicle's position by combining highly accurate localization data from digital maps and sensor data with automatic correction of odometric measurements using a vehicle-specific error model, thereby enhancing positioning accuracy without additional hardware costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution digital maps are used for accurate localization, then positioning accuracy is improved, but data storage requirements and transmission bandwidth increase
Solution Approach 1:
The patent extracts only the essential localization features from high-resolution digital maps that are necessary for accurate positioning, rather than storing and transmitting complete map data. This selective extraction reduces data volume while maintaining positioning accuracy by focusing on key geometric and semantic features relevant to vehicle localization.
Solution Approach 2:
The patent applies different levels of map detail and resolution to different geographic regions based on their importance for localization. High-detail map data is stored only for areas where precise positioning is critical, while less critical areas use lower-resolution data, optimizing the balance between positioning accuracy and data storage requirements.
2Ease of manufacture
If odometric measurements are used for position determination, then no additional hardware costs are incurred, but accuracy deteriorates over longer distances due to error accumulation
Solution Approach 1:
The patent implements a feedback mechanism where odometric position estimates are continuously compared with actual positions derived from map matching and sensor data. The discrepancies are used to generate correction factors that are applied to subsequent odometric measurements, preventing error accumulation and maintaining accuracy over long distances without requiring additional hardware.
Solution Approach 2:
The patent dynamically adjusts odometry parameters such as wheel circumference and steering ratios based on real-time conditions and corrections derived from map-based localization. This adaptation compensates for wear, manufacturing tolerances, and environmental factors that would otherwise cause accumulating errors in odometric measurements.
Data Source
AI summary
Disclosed is a method for determining the position of a vehicle, in which highly accurate localization data for positions of the vehicle are determined when traveling along a route. Odometric measured variables for the own odometry of the vehicle are captured when traveling along the route. The highly accurate localization data determined and the odometric measured variables captured are jointly evaluated. The own odometry of the vehicle is corrected on the basis of the evaluation. An error model is used to calculate a vehicle-specific drift for the own odometry of the vehicle and to continually correct the own odometry of the vehicle provided highly accurate localization data can be determined. The corrected own odometry of the vehicle can then be used in areas in which highly accurate localization data cannot be determined in order to determine the position of the vehicle.