Map Data Update via Sensor Fusion and Sign Matching Efficiency
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Solution Overview
Problem
Existing navigation systems face inaccuracies in capturing road sign data, leading to erroneous speed limit information, which can result in undesired navigation conditions and potentially catastrophic incidents, due to limitations in sensor accuracy and precision.
Innovation Solution
A system and method that determine sign matching efficiency by comparing data from consumer vehicle sensors with high-end sensor data, filtering and validating road sign attributes, and generating updated map data based on this efficiency to ensure accurate speed sign information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-end sensors are used to capture road sign data, then measurement precision is improved, but device complexity and operational overheads increase
Solution Approach 1:
The patent combines data from multiple consumer-level sensors with high-end sensor data to achieve accurate road sign recognition. By merging datasets and comparing results, the system leverages the advantages of both sensor types without requiring all vehicles to be equipped with expensive high-end sensors, thus improving measurement precision while controlling device complexity
Solution Approach 2:
The system creates a universal approach where consumer vehicle sensors can contribute to map updates by comparing their data against high-end sensor data. This multi-functional system serves both navigation purposes and map validation purposes, allowing widespread deployment without requiring specialized equipment in every vehicle
2Device complexity
If consumer vehicle sensor data is used to update maps, then device complexity is reduced, but measurement precision deteriorates due to sensor accuracy limitations
Solution Approach 1:
The system implements a feedback mechanism where high-end sensor data serves as ground truth to validate and correct consumer sensor data. The comparison process provides feedback that identifies and corrects errors in consumer data, maintaining measurement precision while allowing the use of simpler consumer sensors
Solution Approach 2:
The patent introduces an intermediary validation process where high-end sensor data acts as a mediator to verify consumer sensor readings. This intermediary layer filters out erroneous data from consumer sensors without requiring direct replacement of the consumer sensors themselves, thus maintaining precision while keeping device complexity low
3Productivity
If sensor data is used without validation, then productivity is improved by faster map updates, but reliability deteriorates due to erroneous data
Solution Approach 1:
The system performs preliminary validation by comparing consumer sensor data against high-end sensor data before incorporating it into map updates. This preliminary action filters out erroneous data in advance, ensuring that only validated information is used for map updates, thus maintaining both productivity and reliability
Solution Approach 2:
The patent applies preliminary anti-action by proactively identifying and correcting potential errors through data comparison before they can cause navigation issues. By anticipating and preventing erroneous data incorporation, the system maintains fast update cycles while ensuring data reliability
Data Source
AI summary
A system, a method, and a computer program product for generating updated map data are provided. The method comprises obtaining first sensor data associated with a plurality of first road signs within a geographic region, obtaining second sensor data associated with the geographic region, and determining a sign matching efficiency for the geographic region, based on the first sensor data and the second sensor data. The method further comprises generating the updated map data, based on the determined sign matching efficiency.