Navigation Processor Autonomous Road Data Layering
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Solution Overview
Problem
Current navigation systems for autonomous vehicles lack comprehensive autonomous road data for all roads, leading to incomplete autonomous driving capabilities, and there is a need for systems that can recognize and update surveyed roads to enhance navigation and autonomous driving features.
Innovation Solution
A navigation system that includes a map database with both autonomous road data and navigation map data, utilizing a navigation processor to determine routes preferring autonomous roads and display them on a navigation display unit, while also allowing for remote updates and integration with vehicle control systems for semi-autonomous vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive road surveying is performed to generate autonomous driving maps, then autonomous driving capability is improved, but the time and resources required for data collection increase
Solution Approach 1:
The system performs preliminary road surveying and creates autonomous driving maps in advance using LiDAR and GPS, storing the data in a map database. This allows the autonomous driving function to be ready before actual use, eliminating the need for real-time data collection during driving operations.
Solution Approach 2:
The patent creates a comprehensive map database that covers multiple roads and regions, establishing a uniform baseline of autonomous driving capability across different locations. This allows the system to operate at consistent performance levels without repeatedly surveying the same areas.
2Measurement precision
If detailed autonomous road data is collected for all roads, then navigation precision is improved, but the complexity of the map database increases
Solution Approach 1:
The map database is segmented into multiple map layers, with each layer representing different types of road data (e.g., surveyed roads, unsurveyed roads, navigation routes). This segmentation allows precise autonomous driving data to be organized separately from general navigation data, making the overall system more manageable despite the volume of information.
Solution Approach 2:
The patent adds a new dimension to traditional navigation maps by incorporating autonomous driving capability information as a distinct layer. This allows the system to maintain high precision road data while organizing it in a multi-layered structure that separates autonomous driving specifics from general navigation information.
3Reliability
If the navigation system is updated frequently with new survey data, then data currency is improved, but the system complexity and update overhead increase
Solution Approach 1:
The system incorporates feedback mechanisms that track which roads have been surveyed and which have been updated. This allows the navigation processor to efficiently determine whether updates are needed for specific regions, reducing unnecessary update operations and simplifying the overall update process while maintaining data currency.
Solution Approach 2:
The system prepares update packages in advance and stores them in the map database, ready for deployment. This preliminary preparation of update data reduces the complexity of real-time updates by organizing information before it needs to be applied to the navigation system.
4Extent of automation
If the system prefers autonomous roads in route determination, then autonomous driving utilization is improved, but route flexibility decreases
Solution Approach 1:
The route determination system dynamically adjusts between preferring autonomous roads and allowing flexible route selection based on user preferences and conditions. The navigation processor can switch between different routing modes, making the system adaptable to different situations while still promoting autonomous driving when available.
Solution Approach 2:
The system applies autonomous road preference selectively to specific segments of the journey rather than enforcing it uniformly throughout. This allows the route to prefer autonomous roads where available while maintaining flexibility in areas where autonomous capability is not present or where users have specific routing requirements.
Data Source
AI summary
Methods and apparatus are provided for navigation of a vehicle. In one embodiment, a navigation system includes: a map database, and a navigation processor. The map database includes a map layer of autonomous road data, and at least one other layer of map data. The navigation processor is configured to determine a route for a vehicle to a destination preferring use of autonomous roads according to a setting for preferring use of autonomous roads and based on the map layer of autonomous road data and the at least other layer of map data; and display a display map for a vehicle through a navigation display unit including highlighting autonomous roads on the navigation display unit, based on the map layer of autonomous road data, together with the at least one other layer of map data.