Vehicle Environment Map Fusion for Autonomous Driving
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Solution Overview
Problem
Current vehicle environment maps generated by motor vehicles differ in reliability and quality due to varying sensor apparatus, limiting the sharing and integration of accurate environmental data for enhanced autonomous driving functions.
Innovation Solution
A method for creating and sharing a current local environment status map by combining own driving situation data with environment situation data from sensor apparatus, and receiving and integrating vehicle environment maps from other vehicles via vehicle-to-vehicle communication, using a map data evaluation criterion to prioritize and merge data for improved accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle environment maps are generated using individual sensor apparatus, then each vehicle can independently create its own map, but the reliability and quality of the maps differ due to varying sensor capabilities
Solution Approach 1:
The patent merges multiple vehicle environment maps from different vehicles into a single integrated map. By combining maps from vehicles with varying sensor capabilities, the system achieves higher overall reliability and completeness than any single vehicle could achieve alone, while abstracting away the underlying sensor variations through a unified data structure.
2Loss of information
If vehicle environment maps are shared among multiple vehicles, then comprehensive environmental data can be achieved, but data integration becomes complex due to different map qualities and formats
Solution Approach 1:
The patent applies homogeneity by standardizing the data structure and format of vehicle environment maps before integration. All maps are transformed into a common representation scheme, which simplifies the merging process and reduces integration complexity while preserving the completeness of environmental data from multiple sources.
3Measurement precision
If high-quality sensor apparatus are used to improve map accuracy, then detection precision increases, but the cost and complexity of the system increases
Solution Approach 1:
The patent uses copying by allowing vehicles with sophisticated sensors to create high-precision environment maps that can be shared with and used by other vehicles. This enables vehicles with simpler sensor apparatus to access high-quality environmental data without needing to invest in complex sensor systems themselves.
Data Source
AI summary
The disclosure relates to a method of providing a current local environment status map for a motor vehicle, and to a motor vehicle and a system for carrying out the method. The method includes generating own driving situation data which describe a current, position-related vehicle parameter of the motor vehicle, and generating environment situation data which describe a current arrangement of a further motor vehicle located in a predefined environment of the motor vehicle. The method also includes generating, based on these data, a vehicle environment map which describes a current local traffic situation in the predefined environment. The further vehicle environment maps of the environment of the vehicle are received from the further motor vehicle and are combined with the generated vehicle environment map using a map data evaluation criterion in order to generate an improved current local environment status map for the motor vehicle.
