Multi-Radar Target Selection for Complex ADAS Traffic Simulation

The patent segments the simulation process into distinct functional modules: a target management module that handles target generation and tracking, a scenario configuration module that defines test environments, and a performance evaluation module that analyzes results. This modular segmentation allows the simulator to handle multiple targets without proportionally increasing overall system complexity, as each module independently manages its specific functions.

The patent implements a universal target management system that can handle various target types (stationary, moving, random trajectories) through a single integrated platform. The scenario configuration module provides multi-functionality by allowing users to define different test environments and evaluation criteria without requiring separate simulation systems, thereby improving performance evaluation capability while controlling device complexity.

The patent implements preliminary action through pre-configured scenario templates that define common test environments (e.g., urban traffic, highway scenarios) with predetermined target distributions and evaluation criteria. Users can select and modify these templates rather than configuring everything from scratch, which maintains test environment realism while significantly improving ease of operation.

The target management module implements self-service functionality by automatically generating target trajectories, managing target lifecycles, and adapting scenario parameters based on simulation progress. The system self-adjusts target positions and behaviors according to defined scenario rules without requiring manual intervention for each target, thereby maintaining realism while reducing operational complexity.

The patent implements a dynamic target management system where the simulator can adaptively adjust the number of simulated targets based on computational resources and scenario requirements. The system dynamically allocates processing power to target management tasks versus other simulation functions, allowing productivity to be optimized without requiring fixed hardware configurations or complex manufacturing updates.

The patent utilizes parameter changes to control simulation capacity by adjusting software-defined parameters such as target update frequency, trajectory complexity, and evaluation sampling rates. These parameter adjustments allow the system to simulate more targets when needed without physical hardware modifications, thereby improving productivity while maintaining ease of manufacture and simple system updates.