Rail Vehicle Map Data Verification System
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Solution Overview
Problem
Existing map data used for rail vehicles often contain systematic and gross errors, leading to potential inaccuracies and safety risks, including incorrect localization and possible accidents.
Innovation Solution
A method and device for verifying map and sensor data using a computing unit to calculate a total error value, comparing it against a predetermined limit, and triggering actions when exceeded, such as issuing warnings or switching to safe mode, to prevent the use of faulty data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If map data is used for determining the position of a track-guided vehicle, then position determination is enabled, but errors in the map data can lead to incorrect localization and safety risks
Solution Approach 1:
The patent performs preliminary verification of map data before using it for position determination. A testing device calculates expected sensor data from map data and compares it with actual sensor data to detect errors in advance, preventing incorrect map data from compromising vehicle safety
Solution Approach 2:
The patent implements a feedback mechanism where actual sensor data from the vehicle is continuously compared with expected sensor data derived from map data. This feedback loop enables real-time detection of map data errors and allows the system to switch to alternative positioning methods when discrepancies are detected
2Reliability
If manual verification of map data is performed, then errors can be detected, but the process is complex and error-prone
Solution Approach 1:
The patent enables the system to automatically verify map data without human intervention. The testing device autonomously calculates expected sensor data, compares it with actual sensor data, and determines whether map data contains errors, eliminating the need for complex manual verification processes
Solution Approach 2:
The patent replaces manual verification processes with automated computational methods. The testing device uses algorithms to calculate expected sensor data and compare it with actual measurements, substituting human operators with a systematic automated verification process that reduces errors and complexity
3Device complexity
If map data accuracy is assumed to be high, then system complexity is reduced, but systematic and gross errors cannot be detected
Solution Approach 1:
The patent applies preliminary anti-action by proactively testing map data for errors before they can affect vehicle operation. The testing device预先 calculates expected sensor data and compares it with actual data to detect and prevent the use of faulty map data, rather than waiting for errors to manifest
Data Source
Figure 1~2
AI summary
The invention relates to a method for verifying map data and sensor data, wherein the map data and sensor data are usable for determining the position of a track-guided vehicle, in particular a rail vehicle, in which sensor data from at least one sensor is provided, in which at least one first position value for a position of the vehicle is calculated using the sensor data, in which at least one second position value for the position of the vehicle is calculated using the map data, in which a difference value is formed between the first position value and the second position value, and the difference value is used to calculate a total error value, and in which it is checked whether the total error value exceeds a predetermined limit. By means of the method according to the invention, erroneous map data (6) can be easily identified.The invention also relates to a device for checking map data and sensor data.