Driver Assistance Data Assignment for Post-Trip Analysis
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Solution Overview
Problem
Existing driver assistance systems lack an efficient method for analyzing data used to determine when to provide assistance functions, making it difficult to assess the effectiveness and behavior associated with these interventions post-trip.
Innovation Solution
A method and device for operating a driver assistance system that includes a decision device to determine if assistance is needed, a vehicle position detection device, and an assigner to create a set of data combining used and vehicle position data, allowing for filtering and analysis of relevant information, which can be transmitted and stored externally for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data are collected and stored for subsequent analysis of driver assistance system decisions, then the ability to analyze and improve driver assistance functions is improved, but the complexity of data management and processing increases
Solution Approach 1:
The patent segments data into different categories (sensor data, decision data, vehicle state data) and processes them through separate functional modules (data acquisition module, data processing module, analysis module). This segmentation allows complex data to be managed systematically through dedicated components rather than monolithic processing, reducing overall system complexity while maintaining comprehensive analysis capability.
Solution Approach 2:
The patent introduces intermediate data structures and processing layers that mediate between raw sensor data and final analysis results. These intermediaries (such as standardized data formats, intermediate storage buffers, and processing pipelines) simplify the interface between different system components, making data management more manageable while preserving complete information for analysis.
2Measurement precision
If vehicle position data are assigned to used data to create comprehensive data sets, then the precision of subsequent analysis is improved, but the quantity of data to be processed increases
Solution Approach 1:
The patent extracts and assigns only the essential vehicle position data that are directly relevant to driver assistance decision analysis, rather than processing all possible vehicle data. This selective extraction maintains high analysis precision by including critical contextual information while avoiding the processing overhead of unnecessary data, thus managing data quantity efficiently.
Solution Approach 2:
The patent applies local quality by assigning vehicle position data with specific relevance to particular decision contexts. Different position data are assigned based on their local relevance to specific driver assistance functions being analyzed, ensuring high precision where needed while minimizing overall data processing requirements by not uniformly processing all position data for all analysis types.
3Adaptability or versatility
If driver assistance system data are transmitted to external servers or other vehicles, then the versatility of data utilization is improved, but the communication requirements and system complexity increase
Solution Approach 1:
The patent creates a universal data format and communication interface that enables the same driver assistance system data to be transmitted to and utilized by multiple different systems (external servers, other vehicles, different analysis platforms). This multi-functionality approach allows versatile data utilization through a single standardized communication framework, reducing the need for multiple specialized communication systems.
Solution Approach 2:
The patent employs parameter changes by adapting data transmission parameters (such as data format, compression level, transmission frequency) based on the specific communication context and recipient requirements. This allows the system to maintain versatile data utilization across different communication scenarios while managing complexity by dynamically adjusting parameters rather than implementing multiple fixed communication protocols.
Data Source
AI summary
A method for operating a driver assistance system of a vehicle, includes providing and using data for making a decision as to whether or not the driver assistance system is to provide a driver assistance function, detecting a vehicle position when the driver assistance function is provided, and assigning the detected vehicle position to the used data to create a set of driver assistance system data. A device for operating a driver assistance system of a vehicle, as well as a vehicle system for a vehicle and a computer program are also described.