Driver Assistance Control Using Swarm Data Validation Modes
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Solution Overview
Problem
The use of outdated swarm data in assisted driving functions poses a risk of dangerous situations, as it can lead to delayed reactions to changing road conditions and lack of immediate data updates.
Innovation Solution
A method for controlling a driver assistance system that includes acquiring traffic data through vehicle sensors, comparing it with received swarm data, and implementing two operating modes: normal operation for data verification and a special operation for handling outdated or unreliable data, ensuring faster updates and discarding outdated data through emergency markers and timestamps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If swarm data is used to enhance assisted driving functions, then the completeness of traffic information is improved, but the risk of using outdated data increases
Solution Approach 1:
The system performs preliminary actions by acquiring current traffic data through vehicle sensors before relying on swarm data, and by continuously updating swarm data with emergency markers when changes are detected. This ensures that the system has up-to-date information before making driving decisions, preventing reliance on outdated swarm data while maintaining information completeness.
Solution Approach 2:
The system implements feedback mechanisms by comparing swarm data with real-time sensor data, detecting discrepancies that indicate outdated information, and responding by acquiring updated traffic data or marking swarm data with emergency markers. This closed-loop feedback ensures data currency while maintaining the benefits of swarm data supplementation.
2Loss of information
If swarm data is used to supplement missing traffic data, then the availability of navigation information is improved, but the reaction time to changing road conditions deteriorates
Solution Approach 1:
The system performs preliminary acquisition of current traffic data through vehicle sensors before supplementing with swarm data. By having real-time sensor data ready beforehand, the system can immediately detect changes in road conditions without waiting for swarm data updates, thus maintaining fast reaction time while benefiting from swarm data availability.
Solution Approach 2:
The system dynamically switches between using current sensor data and supplemented swarm data based on real-time conditions. When sensor data is sufficient, the system relies on it for fast reactions; when sensor data is incomplete, the system supplements with swarm data while maintaining the ability to quickly update when changes occur, thus adapting the data source to maintain both availability and reaction time.
3Measurement precision
If comparison between swarm data and sensor data is performed, then the accuracy of traffic information is improved, but the complexity of the control system increases
Solution Approach 1:
The system extracts only the essential comparison between swarm data and sensor data, focusing on detecting discrepancies that indicate outdated information. Rather than performing comprehensive analysis of all data parameters, the system extracts key differences to determine data currency, thus maintaining accuracy while limiting complexity to only the necessary comparison operations.
Solution Approach 2:
The system applies comparison selectively rather than uniformly to all traffic data. It focuses comparison on critical elements such as lane markings and traffic signs where accuracy is most important, while using simpler methods for less critical information. This localized approach to quality control maintains overall accuracy while reducing system complexity.
Data Source
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AI summary
The invention relates to a method for controlling a driver assistance system (100) when providing assisted driving functions (AF) of a vehicle (F), comprising: - acquiring traffic data (10) by at least one vehicle-integrated sensor (S), - receiving swarm data (20) from at least one external device (200) for the at least one navigation segment (Ai), - comparing the received swarm data (20) with the acquired traffic data (10), - providing assisted driving functions for the at least one navigation segment (Ai) depending on the comparison in two different operating modes (B1, B2): - a normal operation (B1), in which assisted driving functions of the vehicle (F) are provided using received swarm data (20) and/or the acquired traffic data (10) when a comparison of the received swarm data (20) with the acquired traffic data (10) is possible, - a special operation (B2),where the vehicle's assisted driving functions (F) are provided, in particular only, using the swarm data (20) obtained, if a comparison of the swarm data obtained (20) with the traffic data recorded (10) is not possible or is made more difficult.