Dynamic Map Update System for Vehicle Navigation Accuracy
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Solution Overview
Problem
Current map display systems for vehicles, such as HD and satellite maps, often lack up-to-date data, leading to inaccurate navigation due to missing information on detours, road constructions, and periodic changes like the opening or closing of bridges, which can affect vehicle safety and efficiency.
Innovation Solution
A system and method that utilize sensors and processors to identify locations, capture current data, determine changes exceeding threshold amounts compared to historical data, and update the map data dynamically, including determining update frequencies and adjusting for periodic or recurring changes, ensuring the map reflects real-time conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If maps are updated frequently to ensure up-to-date data, then navigation accuracy is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent implements dynamic map updating by transitioning from static periodic updates to continuous real-time updates based on detected changes in road conditions, traffic patterns, and geographic features. The system dynamically adjusts update frequency and triggers updates only when changes are detected, balancing navigation accuracy with system complexity.
Solution Approach 2:
The system employs feedback mechanisms where sensor data from vehicles is continuously compared against existing map data, and updates are triggered when discrepancies exceed predefined thresholds. This feedback loop ensures map accuracy while avoiding unnecessary updates, thereby controlling system complexity.
2Loss of information
If real-time data collection is performed continuously across all locations, then map data currency is improved, but energy consumption and computational load increase
Solution Approach 1:
The patent applies partial action by collecting and processing data only from locations where changes are detected or where navigation relevance is high, rather than continuously monitoring all locations. This selective approach maintains map currency while significantly reducing energy consumption and computational requirements.
Solution Approach 2:
The system implements periodic data collection at strategic locations combined with event-triggered updates elsewhere. High-traffic or dynamically changing areas receive more frequent updates, while stable areas are updated less frequently, optimizing the balance between data currency and energy usage.
3Measurement precision
If comprehensive sensor data is collected from all vehicle locations, then map update accuracy is improved, but data transmission requirements and network bandwidth increase
Solution Approach 1:
The patent extracts only the essential and relevant data elements needed for map updates, filtering out redundant information. By identifying and transmitting only critical changes (e.g., new road constructions, closed routes, significant traffic patterns) rather than complete datasets, the system maintains update accuracy while minimizing data transmission volume.
Solution Approach 2:
Instead of transmitting raw sensor data, the system creates simplified representations or copies of the essential information (e.g., change detection flags, updated geographic features) that capture the necessary update content with minimal data overhead, reducing network bandwidth requirements.
Data Source
AI summary
Provided herein is a system that comprises one or more sensors that capture data, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform functions that include identifying one or more locations within a distance of the vehicle, capturing current data of the identified one or more locations, determining one or more changes that exceed respective threshold amounts between the current data and historical data of the identified one or more locations, and updating the historical data of the identified one or more locations based on the determined one or more changes.