Preventive Action Protection System for Motor Vehicles
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Solution Overview
Problem
Existing preventive action protection systems in motor vehicles face challenges in quickly and accurately detecting imminent collision situations due to the complexity of processing large amounts of data from various sensors, which can lead to delayed activation of safety devices.
Innovation Solution
A preventive action protection system that assigns specific weightings to features derived from input variables, allowing for rapid detection of critical driving states and timely actuation of safety devices by forming a superordinate criticality from these weighted features, using a data evaluation and control device with a safety sensor system that includes radar sensors and other sensors to determine the position and velocity of collision objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If large amounts of data from various sensors are processed to detect collision situations, then detection accuracy is improved, but response time deteriorates due to computational complexity
Solution Approach 1:
The patent segments the data processing task by dividing sensor inputs into separate processing channels (radar sensor data, opto-electronic sensor data, image sensor data, vehicle state sensor data) that are evaluated independently and combined through logical operations. This segmentation allows parallel processing of multiple data sources without requiring complex centralized computation, thereby maintaining high detection accuracy while reducing response time.
2Reliability
If multiple sensor devices are used to monitor vehicle surroundings, then detection reliability is improved, but system complexity increases
Solution Approach 1:
The patent merges multiple sensor devices and their evaluation results into a unified preventive action protection system. The radar sensor, opto-electronic sensors, image sensors, and vehicle state sensors are combined such that their data flows into a common evaluation logic that determines safety device activation. This merging approach maintains high detection reliability through multi-sensor input while managing system complexity through integrated evaluation rather than separate independent systems.
Solution Approach 2:
The preventive action protection system is designed with multi-functionality to handle various sensor types and evaluation scenarios through a single unified system. The system can process data from radar, opto-electronic, image, and vehicle state sensors, and can activate different safety devices (seatbelt pretensioners, airbags, reversible protection systems) based on the same evaluation logic, thereby reducing overall system complexity compared to having separate dedicated systems for each function.
3Measurement precision
If comprehensive sensor data is evaluated to determine critical driving states, then safety device activation accuracy is improved, but computational requirements increase
Solution Approach 1:
The system performs preliminary evaluation of sensor data continuously during normal operation, maintaining readiness to detect critical driving states. The radar sensor and other sensors continuously monitor the environment, and the system pre-evaluates potential collision scenarios before actual critical events occur. This preliminary action allows the system to be prepared for rapid activation of safety devices when critical states are detected, improving activation accuracy without requiring complex real-time computation during the actual event.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables quick and accurate detection of accident criticality, allowing for timely and appropriate activation of safety devices, reducing computational complexity and storage requirements, thereby enhancing occupant and pedestrian safety.
Implementation Method 1
Radar sensors are used most frequently to monitor the vicinity of the vehicle.
Data Source
AI summary
A motor vehicle, such as a passenger car, having a preventive action protection system is provided, which includes safety devices which are actuated as a function of features which are based on input variables from a safety sensor system in a data evaluation and control device, wherein, when a critical driving state is detected, the data evaluation and control device actuates at least one safety device which is assigned to the driving state. The features are each assigned a specific weighting relating to the criticality of the driving state.