Travel Path Detection via Optimization Parameter Analysis
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Solution Overview
Problem
Existing methods for determining travel paths using sensor data from vehicles can result in erroneously determined paths due to distorted sensor data, particularly in environments like tunnels, leading to impaired map data and automated driving functions.
Innovation Solution
A device and method for detecting problems in determining travel paths by analyzing the optimization method used, specifically by determining parameter values related to the performance of the optimization method, such as error function values and iteration counts, to identify erroneous paths and improve map data quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor data is used to determine travel paths using optimization methods, then map data can be efficiently determined, but distorted sensor data may result in erroneously determined travel paths
Solution Approach 1:
The patent implements a feedback mechanism by analyzing parameter values from the optimization method (such as convergence behavior, error function values, and iteration counts) to detect whether sensor data is distorted. This feedback loop allows the system to identify erroneously determined travel paths and exclude them from map data, thereby maintaining high reliability while preserving the efficiency of the optimization-based determination process.
2Measurement precision
If optimization methods are used to determine travel paths, then precise map data can be obtained, but distorted sensor data leads to erroneous results that impair map data quality
Solution Approach 1:
The patent applies preliminary action by performing an analysis of optimization method parameter values before the erroneous travel paths are incorporated into map data. By detecting distortion in sensor data through optimization parameter analysis (such as abnormal convergence patterns or error function behavior), the system can prevent harmful erroneous results from polluting the map data, thus maintaining high precision while mitigating the impact of distorted sensor data.
3Manufacturing precision
If sensor data from vehicles is used for travel path determination, then individual lanes can be precisely identified, but distorted data from environments like tunnels causes erroneous path determination
Solution Approach 1:
The patent utilizes parameter changes by monitoring optimization method parameters (such as error function values, iteration counts, and convergence behavior) to detect when sensor data becomes distorted in challenging environments like tunnels. By analyzing changes in these optimization parameters, the system can identify when travel paths are erroneously determined due to distorted sensor data and exclude such results, thereby maintaining reliable lane identification precision even in environments where sensor distortion occurs.
Data Source
AI summary
A device detects a problem with a determined travel path of a vehicle on a section of road. The travel path is determined by executing an optimization method for optimizing an error function that depends on sensor data recorded when the vehicle was travelling on the section of road. The device determines a parameter value of at least one parameter relating to the execution of the optimization method; and, on the basis of the determined parameter value, whether or not there is a problem when determining the travel path.