Map Alignment Using Trajectory Superimposition for Automated Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing map data used for automated vehicle navigation often lack precision and reliability, leading to potential safety issues and reduced acceptance of automated driving technologies.
Innovation Solution
A method involving the alignment and superimposition of predefined paths and detected trajectories using SLAM optimization, combined with displacement of further objects, to create a more precise first map for automated vehicle navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing map data is used for automated vehicle navigation, then the navigation system can operate, but the precision and reliability of the map data are insufficient
Solution Approach 1:
The patent combines multiple data sources including predefined paths from second maps, detected trajectories from vehicle sensors, and further objects from environmental sensing. By merging these diverse data sources through alignment and superimposition processes, the system creates first map data with enhanced precision and reliability that overcomes the limitations of using any single data source alone
Solution Approach 2:
The system employs feedback mechanisms by comparing detected trajectories against predefined paths, identifying deviations and discrepancies. This feedback loop enables continuous refinement and correction of map data, improving both precision and reliability through iterative optimization based on actual vehicle operation data
2Reliability
If map data precision is improved through alignment and superimposition processes, then safety is enhanced, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary alignment and calibration of coordinate systems before superimposing map data layers. By establishing reference frameworks and transformation relationships in advance, the system simplifies subsequent processing operations and reduces computational complexity while maintaining high safety standards
Solution Approach 2:
The processing system divides map data creation into distinct segments: providing second maps with predefined paths, detecting trajectories and further objects, aligning coordinate systems, superimposing data layers, and generating first map data. This segmentation allows each processing stage to be optimized independently, managing overall complexity while achieving high reliability
Data Source
AI summary
A method for creating a first map. The method includes providing a second map, the second map including at least one predefined path; receiving map data, the map data representing at least one trajectory and at least one further object; and creating the first map starting from the map data, an alignment based on a superimposition of the at least one predefined path and the at least one trajectory being carried out, and subsequently a displacement of the at least one further object being carried out starting from the alignment. A device for carrying out the method for creating a first map is also described.