Radar Interference Modeling for Realistic Automated Driving Simulation
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Solution Overview
Problem
Existing simulation techniques for automated driving systems do not adequately model interference signals from millimeter-wave radars, leading to unrealistic and inaccurate virtual running tests.
Innovation Solution
An information processing device and method that stores and selects a radio wave interference model based on a simulation scenario to generate output data representing the perception results of a millimeter-wave radar, incorporating interference signals to enhance simulation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing simulation techniques are used for automated driving systems, then the simulation can be conducted without modeling interference signals, but the simulation accuracy and realism are insufficient
Solution Approach 1:
The simulation model is segmented into multiple independent components: radar device models for different vehicles, interference signal models, and perception result models. Each component can be independently configured and selected based on simulation needs, allowing high accuracy without requiring all components to be active simultaneously.
Solution Approach 2:
Interference signal models and radar device models are pre-configured and stored in the storage unit before simulation execution. The selection unit pre-selects appropriate models based on simulation scenarios, so that during actual simulation, the system can directly use pre-prepared models rather than computing them in real-time, improving both accuracy and efficiency.
2Reliability
If interference signals from other radar devices are modeled, then the simulation realism is improved, but the computational complexity and processing requirements increase
Solution Approach 1:
The radar device model is designed as a universal model that can represent different radar devices mounted on different vehicles. The model incorporates parameters that can be adjusted to simulate various radar configurations, eliminating the need for separate specialized models for each radar device and reducing overall system complexity.
Solution Approach 2:
Instead of creating complex physical representations of each radar device, the system uses simplified computational models that copy the essential characteristics of radar interference. These model copies capture the key behaviors needed for realistic simulation without the computational burden of full physical accuracy.
3Measurement precision
If multiple radar device models are configured for different vehicles, then the interference signal simulation becomes more accurate, but the time required for simulation setup and execution increases
Solution Approach 1:
Multiple radar device models and interference signal models are pre-configured and stored in the storage unit before simulation execution. The selection unit pre-selects appropriate models based on simulation scenarios, so that during actual simulation, the system can directly use pre-prepared models rather than computing them in real-time, improving both accuracy and efficiency.
Solution Approach 2:
The simulation system dynamically selects and configures radar device models based on the specific simulation scenario being executed. Rather than always using the most complex multi-vehicle configuration, the system adapts the model complexity to match the simulation needs, reducing setup time while maintaining necessary accuracy.
Data Source
AI summary
The present disclosure relates to an information processing device, an information processing method, and a program that achieve highly accurate simulation in accordance with a real running environment using a millimeter-wave radar. A radio wave interference model for a radar device mounted on a vehicle in a simulation environment is stored, the stored radio wave interference model is selected on the basis of a simulation scenario, and output data representing a result of perception of an object with the radar device is generated on the basis of the selected radio wave interference model. The present disclosure is applicable to an automated driving simulator.