Target Identification System Using Multi-Source Data Fusion
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Solution Overview
Problem
Current movement detection technologies for vehicles and pedestrians on roads face inaccuracies due to positioning precision issues, leading to a need for improved perception capabilities that can effectively associate and compensate information from various sources.
Innovation Solution
A method and system that acquire and associate target detection information from multiple information sources, including vehicles and external devices, to determine the best matching reference target, enabling mutual compensation and revision of target state information for accurate perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and onboard sensors are used for movement detection, then the system can acquire target state information, but positioning precision errors occur
Solution Approach 1:
The patent combines multiple information sources including GPS data from multiple vehicles, road side unit detection data, and cloud platform processing to create a comprehensive target state estimation system. This merging of multiple independent measurement systems compensates for individual positioning errors and improves overall accuracy.
Solution Approach 2:
The system implements feedback mechanisms where the cloud platform receives target state information from multiple sources, processes the data, and uses the results to correct and refine movement state estimates. The system continuously updates target state information based on feedback from multiple vehicles and road side units, improving positioning precision over time.
2Measurement precision
If multiple information sources are integrated for target identification, then perception accuracy improves, but system complexity increases
Solution Approach 1:
The system segments the complex target identification task into distinct functional components: road side units for initial detection, multiple vehicles for state reporting, and a cloud platform for centralized processing and association. This segmentation allows each component to specialize in specific functions, improving overall accuracy while managing system complexity through modular architecture.
Solution Approach 2:
The cloud platform acts as an intermediary that receives information from multiple road side units and vehicles, performs association and matching operations, and generates corrected target state information. This intermediary consolidates the complexity of processing multiple information sources into a single centralized system, simplifying the overall architecture while maintaining high perception accuracy.
Data Source
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AI summary
The present disclosure relates to a target identification method and system, the method comprising receiving target detection information for a current target from a device, and acquiring target state information of multiple reference targets; A degree of matching between the target detection information and the target state information of each of the multiple reference targets is determined; and the current target is associated with a corresponding reference target having the best degree of matching amongst the multiple reference targets.