Object Reflection Simulator for Radar and Lidar Sensor Testing

The patent creates a virtual copy of the sensor system and environment through simulation. The sensor is replicated in a virtual test bed where objects and environments can be modeled without physical presence, allowing repeated testing without actual vehicle deployment. This virtual copying enables extensive evaluation of sensor performance in diverse scenarios without requiring corresponding real-world test drives.

The patent replaces the mechanical/physical testing process with an electromagnetic and computational simulation system. Instead of physically driving vehicles with sensors to collect data, the system uses signal generation and processing algorithms to simulate sensor responses in virtual environments. This substitution eliminates the need for actual vehicle movement and physical testing infrastructure.

By creating virtual copies of sensor systems and test environments, the patent eliminates the need for energy-intensive physical test drives. The simulation environment requires significantly less energy than actual vehicle operation, yet maintains the ability to evaluate sensor performance across diverse scenarios through computational processing rather than mechanical energy consumption.

The patent substitutes energy-intensive mechanical testing with lower-energy computational simulation. Instead of consuming energy to move vehicles, operate physical sensors, and collect real-world data, the system uses processing energy to generate and analyze simulated sensor signals, achieving comparable measurement precision with far reduced energy consumption.

The patent implements self-service through automated parameter extraction. The simulation system automatically analyzes generated signals to determine parameters such as distance, speed, and object characteristics without requiring manual measurement or intervention. The system serves itself by autonomously processing signals, extracting parameters, and updating test scenarios, thereby increasing productivity without proportionally increasing operational complexity.

The patent employs feedback mechanisms where the simulation system continuously monitors generated signals, extracts parameters automatically, and uses this information to adjust subsequent simulations. This closed-loop feedback enables automated parameter determination that adapts to different test scenarios, improving productivity while the systematic approach to feedback processing keeps device complexity manageable through algorithmic efficiency.