Virtual Sensor Visual Field Adjustment for Vehicle Test Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for testing control systems in motor vehicles lack realism and variability, particularly in simulating the dynamic movements and changing visual fields that occur during actual driving scenarios.
Innovation Solution
A computer-implemented method that generates synthetic sensor data by simulating driving through a virtual simulation environment with a virtual vehicle and sensor, accounting for vehicle dynamic movements such as pitch, yaw, roll, and vertical movement, which affect the sensor's visual field.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional simulation methods are used to generate test data, then the testing process is simple and fast, but the realism and variability of the test data are insufficient
Solution Approach 1:
The patent creates a virtual copy of the real sensor system and vehicle dynamics model in simulation. The virtual sensor replicates the optical properties, field of view, and detection characteristics of the real sensor, while the virtual vehicle model copies the mass, inertia, suspension, and aerodynamic properties. This copying approach enables realistic test data generation without requiring physical test vehicles, resolving the contradiction between reliability and complexity.
Solution Approach 2:
The patent implements dynamic vehicle movement simulation by calculating pitch, yaw, and roll angles based on vehicle acceleration, deceleration, and steering inputs. The virtual sensor's field of view and detection parameters are dynamically adjusted according to these movement angles, creating realistic test data that reflects actual driving conditions. This dynamic approach enhances realism while maintaining computational efficiency.
2Reliability
If vehicle dynamic movements are simulated to improve realism, then the test data becomes more realistic, but the computational complexity increases
Solution Approach 1:
The patent changes the simulation approach by using predefined movement patterns and parameterized vehicle dynamics models instead of full-physics simulations. Key parameters such as pitch angle, yaw angle, and roll angle are calculated using simplified formulas based on vehicle speed, acceleration, and steering angle. This parameter change reduces computational power requirements while maintaining sufficient realism for test data generation.
3Measurement precision
If the visual field changes are accounted for during vehicle movement, then the test data accuracy improves, but the data processing complexity increases
Solution Approach 1:
The patent segments the visual field calculation into discrete components: the base field of view of the sensor, the pitch component from vertical vehicle movement, the yaw component from horizontal vehicle movement, and the roll component from lateral vehicle movement. Each component is calculated separately and then combined to determine the final effective detection area. This segmentation simplifies the overall calculation complexity while maintaining measurement precision.
Data Source
AI summary
A computer-implemented method for generating test data for testing a control system of a motor vehicle which evaluates a sensor data stream. Simulated driving is performed through at least part of a virtual simulation environment with a virtual vehicle carrying a virtual sensor by specifying a translational movement of the virtual vehicle in the virtual simulation environment, wherein the virtual sensor has a visual field in which it detects the virtual simulation environment. Synthetic sensor data is generated with the virtual sensor by detecting the virtual simulation environment driven through by the virtual vehicle in the visual field of the virtual sensor. The synthetic sensor data is provided as test data for testing a control system of a motor vehicle which evaluates a sensor data stream.