Digital Map Tolerance Segmentation for Automated Vehicles
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Solution Overview
Problem
Existing methods for creating digital maps for automated vehicles impose uniform maximum deviations across all traffic route segments, which is not necessary and can lead to inefficient use of precision resources, as not all segments require the same level of accuracy for safe operation.
Innovation Solution
The method determines tolerance specifications for each traffic route segment based on its specific traffic infrastructure information, allowing for varying maximum deviations tailored to the segment's requirements, including longitudinal and transverse directions, and considering vehicle-specific parameters like speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform maximum deviations are applied across all traffic route segments, then safety is ensured through consistent precision standards, but computational resources are wasted on segments that do not require such high precision
Solution Approach 1:
The patent divides the traffic route into multiple segments and applies different maximum deviations to each segment based on its specific characteristics (e.g., urban areas with pedestrians receive tighter tolerances than open highways). This segmentation allows the system to maintain safety where needed while reducing computational burden in less critical areas.
Solution Approach 2:
The patent implements local quality by assigning different precision requirements to different spatial locations along the traffic route. Each segment receives a customized maximum deviation value based on local factors such as traffic density, presence of vulnerable road users, curvature, and speed limits, rather than applying a uniform standard across the entire route.
2Measurement precision
If high precision is maintained for all traffic route segments, then accurate vehicle positioning is achieved, but the complexity of map data storage and processing increases
Solution Approach 1:
The patent introduces dynamic tolerance specifications that can be adjusted based on vehicle speed and environmental conditions. As the vehicle operates, the system can modify the applicable maximum deviations for different segments, allowing high precision when needed (e.g., at low speeds in urban areas) and reducing precision requirements when appropriate (e.g., at high speeds on straight highways), thereby managing data complexity while maintaining necessary accuracy.
Solution Approach 2:
The patent changes the parameter of maximum deviation from a fixed uniform value to a variable parameter that depends on segment characteristics, vehicle speed, and operational context. This parameter change allows the system to optimize the balance between positioning accuracy and data complexity by adjusting precision requirements dynamically rather than maintaining consistently high precision across all conditions.
3Productivity
If varying maximum deviations are applied to different traffic route segments, then computational efficiency is improved by reducing unnecessary precision, but the complexity of determining appropriate tolerances for each segment increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal maximum deviation values for each traffic route segment during map creation or update phases. These pre-determined tolerances are based on segment characteristics such as geometry, traffic patterns, and hazard levels. During actual vehicle operation, the system simply retrieves and applies these pre-computed values, avoiding the need to perform complex real-time analysis and significantly reducing computational burden during critical driving operations.
Data Source
AI summary
A method and device for creating a digital map representing one or more traffic routes. Each traffic route is composed of traffic route segments. A method for operation of an automated vehicle is also described.