Sensor Data Format Conversion for Realistic Simulation Testing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current simulation test methods for intelligent systems, such as autonomous vehicles and UAVs, either require costly and resource-intensive 3D rendering for virtual scenes or fail to accurately replicate real-world conditions by not processing data into the correct format for intelligent systems, leading to incomplete and inaccurate simulation tests.
Innovation Solution
A method, device, and system that retrieve and process data from a database in a first format to convert it into a second format representative of real-world sensor data, allowing for accurate simulation testing by simulating the data transmission and processing delays, thereby replicating the real-world operating environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If 3D rendering for virtual scenes is used in simulation test, then the simulation test can be performed without physical vehicles, but the cost and resource consumption increase significantly
Solution Approach 1:
The patent uses real sensor data from actual vehicle operations to create simulated sensor inputs, copying real-world data patterns without requiring full 3D virtual scene rendering. This approach maintains test accuracy while significantly reducing computational resource requirements by using actual sensor data streams instead of generating synthetic virtual environments
Solution Approach 2:
The patent transforms stored sensor data from its original storage format into the specific data formats required by different sensor types (camera, radar, lidar). By changing data parameters and formats appropriately, the system achieves accurate simulation testing without the need for resource-intensive 3D rendering, as the data is processed to match real sensor output characteristics
2Reliability
If real sensor data is used directly for simulation test, then the test accuracy improves, but the data format mismatch prevents proper intelligent system testing
Solution Approach 1:
The patent applies parameter changes by transforming sensor data from its stored format into the specific formats required by different sensor types. The data processing unit changes data parameters including format, resolution, and structure to match the characteristics of original sensor outputs, enabling the intelligent system to process simulated data exactly as it would process real sensor data
Solution Approach 2:
The data processing unit acts as an intermediary between the stored sensor data and the intelligent system. It mediates the data format mismatch by transforming and adapting the data characteristics, allowing real sensor data to be used for simulation testing while ensuring compatibility with the intelligent system's expected input formats
3Reliability
If data processing and transmission delays are simulated, then the real-world operating conditions are better replicated, but the test complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing transmission delays and processing times from real vehicle operations. These delay parameters are determined in advance and then applied during simulation testing, allowing accurate replication of real-world timing conditions without adding complex real-time processing systems
Solution Approach 2:
The system changes temporal parameters by introducing realistic data transmission and processing delays into the simulation pipeline. By adjusting timing parameters to match real-world conditions, the patent replicates authentic operating conditions while maintaining relatively simple system architecture through parameter adjustment rather than structural complexity
Data Source
AI summary
The present disclosure relates to intelligent driving technology, and provides a method, device, and system for simulation test. The method includes: retrieving data in a first format for a first sensor from a database; processing the data in the first format to obtain corresponding data in a second format, the second format being a format of data collection of the first sensor; and transmitting the data in the second format to a second computing device capable of performing a simulation test based on the data in the second format. The present disclosure can provide a simulation test solution for an intelligent system by providing a simulation test environment closer to the real-world environment.