Digital Map Quality Parameter Generation for Driver Assistance
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Solution Overview
Problem
Existing driver assistance systems rely on digital maps for navigation, but these maps can contain geometric and attribute errors due to data collection inaccuracies and changes in road conditions, affecting their accuracy and reliability.
Innovation Solution
A method for establishing quality parameters for digital maps by detecting vehicle positions and attributes using sensors, comparing measured values with stored map data, and generating quality parameters through an evaluation unit, which can be used to enhance the accuracy and redundancy of driver assistance systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital maps are produced frequently to ensure accuracy and reliability, then map freshness is improved, but geometric errors and attribute errors still occur due to data collection inaccuracies and road changes
Solution Approach 1:
The patent implements a feedback mechanism where measured values from sensors (camera, radar, LIDAR) are compared with stored map data to generate quality parameters. These quality parameters are fed back to indicate the reliability of specific map segments, allowing the system to identify and flag areas with potential errors without requiring complete map redescription.
Solution Approach 2:
The patent replaces traditional mechanical surveying methods with sensor-based measurement systems (camera, radar, LIDAR) to collect road and attribute data. This substitution enables more frequent and accurate updates while reducing human error in data collection processes.
2Reliability
If redundancy is added to driver assistance systems through quality parameters, then system reliability is improved, but device complexity increases
Solution Approach 1:
The system generates quality parameters through a feedback loop that compares sensor measurements with map data. These parameters are stored alongside map information and automatically used by the driver assistance system to assess data reliability, providing redundancy without requiring complex additional hardware.
Solution Approach 2:
The quality parameter acts as an intermediary element between the raw sensor data and the driver assistance system decisions. This intermediary layer simplifies the system architecture by providing a standardized metric for data quality assessment without requiring complex evaluation algorithms directly in the control path.
Data Source
AI summary
A device and method for the establishment of quality parameters of a digital map. A currently determined position of the vehicle and a measured value of an attribute of this position is used to calculate a quality parameter which serves as additional information for the data of the digital map. A driver assistance system constitutes an improved aid for a driver of a vehicle, since, in addition to the data of the digital map, the driver assistance system uses the feedback information of the quality parameter.