Waypoint Map Construction for Broad-Coverage Driving Route Accuracy
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Solution Overview
Problem
Current map information systems for driving support and control, such as automatic driving, face challenges in providing high-accuracy map data covering extensive road ranges due to limited storage capacity and high costs associated with high-accuracy 3D map data, which are mainly available for freeways and highways, making it difficult to utilize for ordinary roads and residential areas.
Innovation Solution
A map information provision system that utilizes car navigation map data to enhance accuracy, updates road map information based on actual driving data, and configures a waypoint map indicating a planned driving route by incorporating information on crossings, lane distances, curvature angles, and landmarks, allowing for more accurate and extensive road coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-accuracy 3D map data is used to configure waypoint maps for driving support and control, then measurement precision and reliability are improved, but storage capacity requirements increase and cost increases
Solution Approach 1:
The patent uses ordinary road map data as a base copy and superimposes relative position information from multiple driving course data sets to create an enhanced waypoint map. This approach avoids storing multiple high-accuracy 3D map data sets, instead using a single ordinary map copy enhanced with relative position corrections derived from accumulated driving data.
Solution Approach 2:
The patent merges ordinary road map data with relative position information extracted from multiple driving course data sets. By combining these different data sources and calculating deformation amounts representing relative positional relationships, the system creates enhanced map information that achieves high accuracy without requiring large storage capacity for multiple high-accuracy map data sets.
2Reliability
If high-accuracy 3D map data is used for driving support and control, then reliability is improved, but the extent of automation and adaptability to different road types deteriorates due to limited availability
Solution Approach 1:
The patent makes the map information provision system universally applicable to all road types by using ordinary road map data that covers extensive areas including ordinary roads and residential areas, not just freeways. The system enhances this universal base data with relative position information from multiple driving courses, making high-accuracy driving support adaptable to diverse road environments without requiring specialized high-accuracy 3D maps for each road type.
Solution Approach 2:
The patent performs preliminary accumulation of multiple driving course data sets during normal vehicle operation before they are needed for driving support. By pre-collecting and processing driving course information from multiple vehicles or multiple runs, the system prepares the relative position data needed to enhance ordinary map data, enabling reliable driving control on ordinary roads without requiring pre-existing high-accuracy 3D maps.
3Measurement precision
If multiple driving course data are accumulated and processed to correct position errors, then measurement precision is improved, but device complexity and processing time increase
Solution Approach 1:
The patent extracts only the essential relative position information from multiple driving course data sets without requiring complete processing of all raw driving data. By extracting deformation amounts that represent relative positional relationships between driving courses and the ordinary map, the system achieves position correction with reduced processing complexity compared to comprehensive multi-source data fusion methods.
Data Source
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AI summary
A map information provision system includes: a road map information database configured to store road map information; a vehicle position determination unit configured to detect and determine a position of a vehicle on a road; a road map information extraction unit configured to extract the road map information around the vehicle from the road map information database, based on the position of the vehicle; and a waypoint map constructor unit configured to determine positions of waypoints and configure a waypoint map that is made up of the plurality of the waypoints, wherein the waypoint map is supplied to a driving support device for the vehicle or a driving control device for the vehicle and is utilized as map information on the planned driving route.