Autonomous Driving Data Error Checking in Parking Facilities
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Solution Overview
Problem
Current systems for autonomous driving in parking facilities lack effective data error detection and safety measures, which can lead to collisions and compromised safety for vehicles and objects within the facility.
Innovation Solution
A method and device for monitoring autonomous driving operations within parking facilities, involving data ascertainment and error checking before use, with safety actions triggered if errors are detected to prevent collisions, including emergency stops, message transmission, or repeated data checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data are used directly for autonomous driving operation without error checking, then the productivity and response time are improved, but the reliability and safety are worsened due to undetected errors leading to collisions
Solution Approach 1:
The patent implements preliminary error checking of ascertainment data before the autonomous driving operation uses this data for navigation and control. The checking device validates data integrity and detects errors in advance, ensuring that only verified data is used for driving decisions, thus preventing collisions while maintaining operational efficiency
Solution Approach 2:
The system establishes a feedback loop where the checking device continuously monitors ascertainment data and provides error detection results back to the control unit. This feedback mechanism enables real-time validation of sensor data, map data, and control commands, allowing the system to correct or reject erroneous data before it affects driving safety
2Reliability
If error checking is implemented before data usage, then the reliability and safety are improved, but the time required for data processing and response is worsened
Solution Approach 1:
The checking device performs selective error checking on critical ascertainment data such as obstacle detection data, navigation path data, and control command data. By focusing validation efforts on the most safety-critical data elements rather than checking every single data point exhaustively, the system achieves adequate safety verification with minimal processing time overhead
Solution Approach 2:
Error checking is performed in advance during data ascertainment and before the autonomous driving operation executes. This preliminary validation ensures that data is verified ahead of time, allowing the actual driving operation to proceed without time-consuming interruptions or delays for error detection
3Reliability
If safety actions are carried out when errors are detected, then the risk of collision is reduced, but the productivity and smooth operation are worsened due to frequent emergency stops
Solution Approach 1:
The system carries out safety actions preventively by detecting and correcting errors in ascertainment data before they can lead to collisions or dangerous situations. By addressing data errors in advance through validation and correction mechanisms, the system prevents the need for reactive emergency stops, thereby maintaining both safety and operational efficiency
Solution Approach 2:
The checking device provides continuous feedback on data quality, enabling the control unit to adjust or correct ascertainment data in real-time. This feedback loop allows the system to maintain safe operation by correcting minor errors without triggering unnecessary safety actions or emergency stops, thus preserving productivity while ensuring collision risk reduction
Data Source
AI summary
A method for monitoring an autonomous driving operation of a motor vehicle within a parking facility including the following: ascertaining data for an autonomous driving operation of the motor vehicle; checking the ascertained data for errors before the data are used for the autonomous driving operation of the motor vehicle; if the check revealed that the data have no errors, then using the data to autonomously drive the motor vehicle; and if the check revealed that the data have an error, then carrying out a safety action to reduce a risk of collision for the autonomously driving motor vehicle. Also described is a corresponding device, a motor vehicle, a parking facility, and a computer program.