Driver Assistance System Adaptation via Car2X Section Data
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Solution Overview
Problem
Driver assistance systems for partially or fully automatic vehicle guidance face challenges in navigating sections with changed route properties, such as construction sites, where environmental data may be outdated or incorrect, leading to unwanted vehicle behavior.
Innovation Solution
The method employs motor vehicle-to-infrastructure communication (Car2X) to receive section-specific adjustment information, which is used to update environmental data and evaluation processes, allowing the system to adapt to current conditions, including lane markings, overtaking bans, and speed limits, ensuring reliable automatic vehicle guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver assistance system uses standard environmental data and evaluation criteria for automatic vehicle guidance, then the system operates reliably under normal conditions, but the system produces incorrect control decisions when route properties change temporarily (e.g., construction sites with yellow lane markings instead of white)
Solution Approach 1:
The system receives and stores adjustment information about upcoming route sections (such as construction sites) before actually entering them. This preliminary action allows the driver assistance system to have the correct evaluation criteria ready in advance, so when the vehicle enters the construction zone with yellow lane markings, the system already knows to evaluate yellow markings as valid lane indicators rather than treating them as obstacles or invalid markings.
Solution Approach 2:
The evaluation criteria of the driver assistance system are made dynamic rather than static. The system can adapt its lane marking color expectations based on received adjustment information about upcoming route sections. When entering a construction zone, the system dynamically switches from expecting white lane markings to expecting yellow lane markings, allowing continuous reliable operation despite changes in route properties.
2Adaptability or versatility
If the driver assistance system continuously monitors and adapts to all environmental changes, then the system becomes highly adaptable to different route conditions, but the system complexity and computational requirements increase
Solution Approach 1:
The system uses an intermediary mechanism (adjustment information received via motor vehicle-to-infrastructure communication) to convey changes in route properties rather than requiring the driver assistance system to independently detect and interpret all environmental changes. This intermediary provides structured, pre-processed information about upcoming route sections, reducing the computational burden on the driver assistance system while maintaining high adaptability.
Solution Approach 2:
Adjustment information about route section changes is received and processed in advance before the vehicle actually encounters the changed conditions. This allows the system to prepare appropriate evaluation criteria without needing to perform complex real-time analysis when the changes occur, thereby reducing computational requirements while maintaining adaptability.
3Ease of operation
If the driver assistance system follows standard evaluation criteria for lane markings and route guidance, then the system operates predictably under normal conditions, but the system generates unwanted behavior when encountering temporary route modifications like construction sites
Solution Approach 1:
The system dynamically adjusts its evaluation criteria based on received adjustment information about upcoming route sections. When entering a construction zone, the system switches from standard evaluation (expecting white lane markings) to modified evaluation (expecting yellow lane markings). This dynamic adaptation maintains both predictability within each section type and correctness across different section types.
Solution Approach 2:
The system applies different evaluation criteria locally to different route sections based on received adjustment information. Instead of using a single universal set of evaluation rules, the system tailors its lane marking color expectations and other evaluation parameters to the specific characteristics of each route section, ensuring correct behavior in both standard and modified sections.
Data Source
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AI summary
Method for operating a driver assistance system (9) of a motor vehicle (1) designed for at least partially automatic vehicle control, which driver assistance system (9) determines automatic driving interventions and/or control data describing the environment of the motor vehicle (1) from environmental data describing the environment of the motor vehicle (1) within the framework of an evaluation process, wherein for at least one section (6) of a route traveled by the motor vehicle (1), which differs from the rest of the route and/or from environmental data already available for the section (6) with regard to at least one section property relevant in the evaluation process, section-specific adaptation information is received via motor vehicle-to-infrastructure communication and is used to adapt the environmental data and/or the evaluation process to the section property for the section (6).