Template-Based Simulation Data Generation for Sensor Fusion Testing
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Solution Overview
Problem
Traditional testing solutions for data fusion systems in autonomous vehicles require multiple real sensors from different manufacturers, leading to high costs and limitations in data format compatibility, data rate, and storage capacity, which restrict test flexibility and efficiency.
Innovation Solution
A method and device for generating simulation data using pre-stored data template files to create customizable data packets based on user input, including data type, value, and generation time parameters, which are sent to the data fusion system through specified interfaces, allowing for flexible and cost-effective testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If real sensors from different manufacturers are connected to test the data fusion system, then the data format compatibility and sensor compatibility can be tested, but the testing cost increases significantly and device complexity increases
Solution Approach 1:
The patent creates virtual copies of sensor data through simulation data generation, replacing the need for multiple physical sensors. The simulation system generates data packets that replicate the characteristics of real sensor data from different manufacturers, enabling compatibility testing without requiring the actual expensive sensor hardware.
Solution Approach 2:
The patent introduces a simulation data generation device as an intermediary between the test system and real sensors. This intermediary generates virtual sensor data that can be input into the data fusion system for testing, eliminating the need to directly connect multiple real sensors while maintaining testing validity.
2Reliability
If real sensors are used for testing, then authentic sensor data can be obtained, but the data rate is limited by recording rate and storage capacity is insufficient for long-term testing
Solution Approach 1:
The patent replaces the mechanical recording and storage system with a software-based simulation data generation system. Instead of recording real sensor data to storage devices, the system generates data packets through software algorithms that can produce data at unlimited rates and store indefinitely in memory, eliminating the physical storage bottleneck.
3Adaptability or versatility
If multiple real sensors are deployed for comprehensive testing, then test coverage and data diversity improve, but the cost and complexity of the testing system increase
Solution Approach 1:
The patent changes the fundamental parameters of data generation from physical sensor recording to virtual data synthesis. By adjusting simulation parameters such as data format, value ranges, and temporal characteristics, the system can generate diverse test data representing different sensor types and conditions without requiring multiple physical sensors, thereby reducing cost while maintaining test diversity.
Data Source
AI summary
A method and a device for generating simulation data, a computer device and a storage medium are provided. The method includes: receiving user input through a user interface, where the user input includes a data type parameter, a value parameter, a generation time parameter and a target interface parameter of data to be generated; searching for a pre-stored data template file corresponding to the data type parameter; generating a data packet queue based on the value parameter by using the data template file; and sending each data packet in the data packet queue to a target interface corresponding to the target interface parameter based on a sending moment specified by the generation time parameter. With this method, the cost of the test system can be reduced and the flexibility of available test data can be improved.