Autonomous Route Planning Using Dual Map Accuracy Levels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing route search systems for autonomous driving fail to accurately perform driving control based on the accuracy of map information, particularly in distinguishing and navigating through travel lanes.
Innovation Solution
The system utilizes two types of maps: a first map with high accuracy including lane identification information and a second map without lane identification, calculating routes to create a driving plan that prioritizes high-level autonomous driving by setting a predetermined relationship between the travel costs of routes on these maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single map without lane identification information is used for route search, then the system complexity is reduced and ease of operation is improved, but the driving control accuracy and reliability deteriorate because automated driving cannot be performed based on insufficient map information
Solution Approach 1:
The map information is segmented into two distinct types: a first map containing lane identification information for high-accuracy automated driving control, and a second map without lane identification for general route guidance. This segmentation allows the system to use appropriate map types for different driving scenarios, maintaining reliability while simplifying operations.
Solution Approach 2:
The system dynamically switches between using the first map and second map based on the driving situation and required control accuracy. The map selection is not static but adapts to changing conditions, allowing the system to maintain high reliability when needed while simplifying operations during routine driving.
2Measurement precision
If a first map with lane identification information is used for all routes, then the driving control accuracy and automated driving capability are improved, but the device complexity and information processing requirements increase
Solution Approach 1:
Instead of providing high-accuracy lane identification information uniformly across all maps, the system applies local quality by providing detailed lane information only in the first map where it is needed for automated driving, while the second map contains only essential route guidance information. This reduces overall system complexity while maintaining necessary precision.
Solution Approach 2:
The system uses partial action by providing lane identification information only partially - specifically in the first map rather than all maps. This partial provision of information is sufficient to achieve the required driving control accuracy while avoiding the excessive complexity that would result from providing complete lane information across all map data.
3Ease of manufacture
If route search considers only general road information without lane details, then the ease of manufacture and data processing are improved, but the productivity of automated driving control deteriorates
Solution Approach 1:
The map data is segmented into two processing streams: one for the first map that includes lane identification information for automated driving control, and another for the second map that contains only general route information. This segmentation allows efficient processing of each data type according to its specific requirements, improving both ease of manufacture and driving control productivity.
Solution Approach 2:
The dual-map system provides multi-functionality by enabling both simple route guidance (using the second map) and sophisticated automated driving control (using the first map with lane information). This universal approach allows the same system to handle various driving scenarios efficiently without requiring separate systems for each function.
Data Source
AI summary
A driving control method includes referring to map information including a first map that includes identification information of a travel lane and a second map that does not include the identification information of the travel lane; when calculating a route from the current position of a vehicle to a destination, calculating the route so as to achieve a predetermined relationship between a first travel cost for traveling along a first route that belongs to the first map and a second travel cost for traveling along a second route that belongs to the second map; creating a driving plan for the vehicle to travel along the route; and causing a vehicle controller to execute the driving plan.