Vehicle Object Information Merging With Tolerance-Based Assignment
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Solution Overview
Problem
Existing approaches for creating a cooperative environmental model for transportation vehicles face challenges in efficiently combining data from different sources, leading to redundancies and inflexibility in assigning object information from sensors and transmitters.
Innovation Solution
Storing object information from various data sources in a database without immediate assignment and linking them via meta information, allowing for continuous updating and reduction of redundancies by comparing discrepancies within a tolerance range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If object information from sensors and transmitters is immediately assigned and combined, then a cooperative environmental model can be created, but redundancies increase and computing load rises
Solution Approach 1:
The patent applies preliminary action by storing object information from multiple data sources in a database before assignment occurs. This allows the system to prepare and organize data in advance, reducing the computational burden during the actual model creation process. The information is captured and stored with associated metadata, enabling later efficient processing and assignment when needed.
2Speed
If object information is stored and assigned immediately, then the environmental model can be updated quickly, but the system becomes inflexible in handling discrepancies
Solution Approach 1:
The patent implements dynamics by making the assignment process adjustable and flexible. The system can dynamically determine whether and how to assign object information based on predefined criteria and tolerance ranges. This allows the system to adapt to different scenarios and data quality conditions, switching between immediate assignment and deferred assignment as needed.
Solution Approach 2:
The patent applies parameter changes by introducing tolerance ranges as adjustable parameters in the assignment process. These tolerance ranges allow the system to flexibly handle discrepancies in object information from different sources. By changing these parameters, the system can adapt to varying data quality and synchronization conditions without sacrificing update speed.
3Loss of information
If all object information from different data sources is combined, then complete environmental representation is achieved, but redundancies and processing complexity increase
Solution Approach 1:
The patent applies the extraction principle by separating the storage of object information from the assignment and processing steps. Object information is extracted from various data sources and stored in a database with associated metadata, but the actual assignment and integration into the environmental model occurs only when assignment criteria are met. This separation reduces processing complexity while maintaining data completeness.
Data Source
AI summary
A transportation vehicle, a method, a computer program and an apparatus for combining object information relating to one or more objects in an environment of a transportation vehicle from different data sources. The method includes capturing a first item of environmental information relating to the environment by at least one sensor arranged on the transportation vehicle, receiving at least one second item of environmental information relating to the environment from a transmitter separated from the transportation vehicle, determining at least one first item of object information from the first environmental information, determining at least one second item of object information from the second environmental information, and assigning the first meta information and the second meta information to one another based on a comparison of a tolerance range with a discrepancy between the first object information and the second object information.