Virtual Curb Parking Assistance Speed Control

The system performs preliminary action by defining multiple virtual curbs at different positions and heights before the actual parking maneuver begins. These virtual curbs serve as pre-calculated reference models that represent possible real curb scenarios. During the parking maneuver, the system compares sensor data against these pre-defined virtual curbs to identify the most likely real curb configuration, enabling accurate speed control without requiring perfect real-time detection.

The system applies parameter changes by creating virtual curbs with varying parameters (positions, heights, orientations) to account for different possible curb configurations. Instead of relying on a single detection result, the system generates multiple hypothetical curb scenarios with different geometric parameters and selects the best match during the parking maneuver based on sensor feedback and vehicle response comparison.

The system uses copying by creating virtual representations (virtual curbs) of potential real curbs based on existing sensor data and parking space geometry. Instead of adding more physical sensors, the system generates multiple virtual models of curbs with different parameters and uses these copies to predict vehicle responses. The actual curb is identified by matching sensor feedback against these virtual copies, achieving improved detection accuracy without additional hardware.

The system replaces the mechanical/sensor-based detection approach with a calculation-based virtual model approach. Instead of relying solely on physical sensors to directly detect and measure curb properties, the system substitutes this with computational models (virtual curbs) that simulate curb effects on vehicle dynamics. This substitution reduces hardware complexity while maintaining or improving detection accuracy through advanced calculations.