Dynamic Map Layering for Vehicle Surface State Safety
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Solution Overview
Problem
Existing map technologies do not effectively incorporate instantaneous surface state information, such as friction coefficients and weather conditions, which can significantly impact vehicle safety, especially as these conditions can change rapidly over short distances.
Innovation Solution
A method and device that receive signals for vehicle position determination, analyze the surface state based on this data, and create a digital map by supplementing existing maps with surface state information, including layers for radar and LIDAR data, friction coefficients, and weather conditions, to provide real-time information for vehicle operation and safety enhancements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing map technologies are used without surface state information, then map creation is simple and resource-efficient, but vehicle safety is compromised due to lack of instantaneous surface condition data
Solution Approach 1:
The map is divided into multiple layers, with the base layer containing static geographic information and additional layers containing dynamic surface state information. This segmentation allows the system to maintain a simple base map structure while adding safety-critical surface state data only where needed, resolving the contradiction between safety requirements and system complexity.
Solution Approach 2:
Surface state information is determined and integrated into the map structure in advance before vehicle operation. By pre-processing and storing surface state data (friction coefficients, weather conditions) in the map layers, the system eliminates the need for complex real-time analysis during vehicle operation, thereby improving safety without proportionally increasing operational complexity.
2Productivity
If map material is reused from existing maps, then map creation is quick and resource-conserving, but the map may contain errors if surface state conditions have changed
Solution Approach 1:
The map system transitions from static to dynamic by continuously updating surface state layers with current conditions. While the base map structure can be reused for quick creation, the surface state layers are dynamically updated based on current sensor data and environmental conditions, ensuring accuracy without sacrificing creation speed.
Solution Approach 2:
The system implements feedback mechanisms where determined surface states are compared against reference analyses and existing map data. This feedback loop allows the system to quickly identify when reused map material may be outdated or inaccurate, triggering selective updates only where needed, thus maintaining both speed and precision.
3Reliability
If surface state information is added to maps, then vehicle safety is enhanced, but resource consumption increases due to additional data processing and storage
Solution Approach 1:
Surface state information is stored and processed locally in specific map layers rather than throughout the entire map system. This allows the system to maintain a lightweight base map structure while adding detailed surface state data only where it is needed for safety-critical decisions, minimizing overall resource consumption while maximizing safety benefits.
Solution Approach 2:
The surface state information in the map layers serves multiple functions simultaneously: it provides friction coefficients for trajectory planning, weather conditions for environmental modeling, and surface characteristics for obstacle detection. This multi-functionality reduces the need for separate data systems, thereby enhancing safety without proportionally increasing resource consumption.
Data Source
AI summary
A method and a device are described for creating a map, including a step of receiving a signal, the signal representing a determination of the position of a vehicle in an area, and the signal including an analysis of the position determination, a step of determining a surface state in the area, based on the analysis and as a function of the position determination, a step of creating a map based on the surface state, the map representing at least the area, and a step of providing the map.