Vehicle Environment Region Coverage for Automated Driving Safety
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Solution Overview
Problem
Automated driving systems face challenges in reliably detecting and responding to critical environmental situations due to sensor limitations and variability, leading to performance restrictions and safety concerns, especially in complex operational design domains where all possible scenarios cannot be analytically determined beforehand.
Innovation Solution
A method that determines safeguarded and safety-relevant environment regions around a vehicle to ensure reliable perception functions, generating and transmitting environment region information for evaluation, and providing suggestion information to adjust vehicle behavior or infrastructure to prevent critical situations, using a combination of sensor data and external information sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the performance of the AD system is limited due to sensor input fluctuations or environmental conditions, then the robustness of the perception system is improved, but the safety of the system deteriorates when spontaneous surprises require rapid reaction
Solution Approach 1:
The system performs preliminary analysis of sensor data quality and environmental conditions to identify potential critical situations before they occur. By proactively detecting degradation in perception reliability and anticipating hazardous scenarios, the system can prepare appropriate responses in advance, thus maintaining both robustness and rapid safety response when surprises occur.
2Reliability
If conventional safety concepts aim to identify all functional deficiencies in the design phase through analytical methods and simulations, then the safety requirement is improved, but it becomes impossible to cover all possible critical environmental situations for complex ODDs
Solution Approach 1:
The system continuously monitors sensor data quality, environmental conditions, and perception reliability during operation. This real-time feedback enables the system to dynamically identify critical environmental situations and adjust its behavior accordingly, complementing the design-phase analytical methods and enabling coverage of complex, unforeseen scenarios in the actual operational environment.
3Reliability
If the performance of the overall system is restricted to maintain safety in situations with low confidence measurements, then the safety is improved, but the comfort of the user deteriorates due to extension of driving time
Solution Approach 1:
The system dynamically adjusts its performance restrictions based on real-time assessment of measurement confidence and environmental conditions. Rather than applying static limitations, the system adapts its safety measures and performance constraints to the current situation, maintaining safety while minimizing unnecessary extensions of driving time when conditions permit.
Data Source
AI summary
A method for fulfilling a safety requirement of at least one vehicle in a driving situation at a point in time t. The method includes: determining a first safeguarded and position-dependent environment region of the vehicle; determining a second safety-relevant and position-dependent environment region of the vehicle; checking whether the second environment region is covered by the first environment region in the driving situation of the vehicle, and, if not, generating an item of environment region information of the vehicle based on the detected first and second environment regions and a perception function corresponding to the generation of each of the environment regions; transmitting the environment region information to an application; evaluating the environment region information by the application; and generating at least one item of suggestion information so that the safety requirement for the driving situation at the point in time t of the vehicle is fulfilled.