Motor Vehicle Protective Function Control via Dynamic Parameterization
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Solution Overview
Problem
Automated valet parking systems face challenges in ensuring safety and efficient control of motor vehicles within parking facilities due to the complexity of autonomous control and the risk of accidents, particularly at low speeds and in dynamic environments.
Innovation Solution
A method involving environmental scanning and dynamic assessment of driving situations using on-board and facility-side sensors to activate, deactivate, or parameterize protective functions, such as adjusting braking and acceleration, to enhance safety and adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the motor vehicle is controlled autonomously in the parking facility, then the convenience of the driver is improved, but the complexity of the control system increases and the risk of accidents remains
Solution Approach 1:
The control system is segmented into multiple independent protective functions (first protective function, second protective function, etc.), each responsible for specific safety aspects. This modular approach manages system complexity by dividing the overall control into manageable, specialized components while maintaining comprehensive safety coverage.
Solution Approach 2:
The system ascertains the driving situation in advance and activates appropriate protective functions before accidents can occur. By continuously monitoring the environment and predicting potential hazards, the system prepares protective measures proactively, reducing the risk of accidents while maintaining autonomous operation.
2Reliability
If multiple protective functions are continuously activated, then the safety of the motor vehicle and persons is improved, but the processing device becomes overloaded and misleading information may occur
Solution Approach 1:
The protective functions are dynamically activated, deactivated, or parameterized based on the ascertained driving situation. The system adapts the level of protection to the current environmental conditions and risk level, ensuring high safety when needed while reducing processing load when risks are low, thus avoiding overloading the processing device.
Solution Approach 2:
The system changes the parameters of protective functions according to the driving situation. Instead of maintaining all protective functions at maximum intensity continuously, the system adjusts their activation state and parameters dynamically, optimizing the balance between safety and processing device load.
3Force
If the motor vehicle travels at low speed, then the braking distance is reduced, but the autonomous control complexity increases and accident risk remains
Solution Approach 1:
The system continuously ascertains the driving situation and activates protective functions in advance, allowing for safe low-speed operation through proactive hazard detection and response preparation, managing control complexity through anticipatory safety measures.
Solution Approach 2:
The system uses continuous environmental scanning and driving situation ascertainment to provide feedback to the protective functions, enabling adaptive control at low speeds where traditional braking alone is insufficient, managing complexity through intelligent feedback-based adjustment of protective measures.
Data Source
AI summary
A method for controlling a motor vehicle includes steps of scanning an environment of the motor vehicle, controlling the motor vehicle as a function of the scanned information, ascertaining a driving situation of the motor vehicle, and of activating, deactivating or parameterizing a protective function of the motor vehicle as a function of the ascertained driving situation.


