Digital Map Extension Verification Using Overlap Region Reconciliation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing computer-implemented methods for verifying and approving map extensions for digital maps in movable devices lack precision and safety, particularly in regions with insufficient or no mapping, hindering their integration and use in autonomous driving functions.
Innovation Solution
A computer-implemented method involving geometric reconciliation and feature-based localization using specified tolerance values, along with redundant comparison information from various sensors, to verify and approve map extensions for digital maps, ensuring high precision and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If map extensions are integrated into digital maps without verification, then integration efficiency is improved, but manufacturing precision (geometric accuracy) deteriorates
Solution Approach 1:
The patent performs verification of map extensions before approving their integration into digital maps. This preliminary verification process checks geometric reconciliation and feature-based localization to ensure accuracy standards are met before the extension is officially integrated, thus maintaining high geometric accuracy while enabling efficient integration of validated extensions.
2Manufacturing precision
If verification processes are made more rigorous, then manufacturing precision (geometric accuracy) is improved, but device complexity increases
Solution Approach 1:
The verification process is segmented into distinct components: geometric reconciliation verification and feature-based localization verification. Each component can be independently configured and executed, allowing rigorous verification of geometric accuracy while managing complexity through modular, separable verification steps rather than a monolithic complex process.
3Manufacturing precision
If tolerance values are reduced for higher precision, then manufacturing precision is improved, but reliability decreases due to stricter constraints
Solution Approach 1:
The system uses configurable tolerance values that can be adjusted based on specific application requirements. By allowing parameter changes in tolerance levels, the system can achieve high geometric precision when needed while maintaining robustness through adaptive tolerance settings that prevent overly strict constraints from causing system failures.
Data Source
AI summary
A computer-implemented method for verifying and approving a map extension for a digital map for use in a movable device, in particular in a vehicle or a robot. The digital map includes at least one connection region. The map extension includes at least one extension region and one overlap region. The overlap region describes an at least partially identical environmental region as the connection region of the digital map.