Simulation System for Autonomous Test Vehicles
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Solution Overview
Problem
Current methods for simulating traffic situations for autonomous or semiautonomous test vehicles are time-consuming due to the randomized nature of tests, which makes it difficult to provoke consistent and reliable reactions from the test vehicle, as they rely on waiting for unforeseen situations to occur.
Innovation Solution
A method that simulates a test vehicle driving through a predetermined road network with other vehicles behaving stochastically according to predefined rules, allowing for the detection of predefined traffic situations and the provocation of specific driving maneuvers, thereby increasing the frequency of usable situations without compromising realism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If randomized tests are performed to check sensor system reaction for different situations, then the realism of simulation is improved, but the time consumption increases significantly
Solution Approach 1:
The patent applies preliminary action by predefining specific traffic situations and test maneuvers before execution. Instead of waiting for random situations to occur during simulation, the system pre-configures test scenarios with specific parameters (vehicle positions, speeds, trajectories) that are guaranteed to provoke desired reactions from the sensor system, thereby eliminating waiting time while maintaining test effectiveness
Solution Approach 2:
The patent creates virtual copies of real-world traffic situations through detailed simulation models. These virtual scenarios replicate realistic driving conditions, pedestrian behaviors, and environmental factors, allowing comprehensive testing of sensor system reactions without the time constraints of physical road tests, thus maintaining realism while reducing time consumption
2Productivity
If predefined traffic situations are used to provoke specific reactions, then the efficiency of testing is improved, but the realism of simulation deteriorates
Solution Approach 1:
The patent applies dynamics by making the simulation system adaptable and flexible. While test scenarios are predefined, the system dynamically adjusts parameters such as vehicle speeds, positions, and environmental conditions within defined ranges. This allows the same test framework to cover multiple variations of traffic situations, maintaining both efficiency and realism through dynamic parameter modification rather than static rigid scenarios
Solution Approach 2:
The patent utilizes parameter changes to maintain realism within predefined test structures. By varying key parameters (velocity, distance, angle, environmental conditions) within predetermined ranges, the system generates diverse test situations from a structured framework, ensuring comprehensive coverage of critical scenarios while maintaining efficient automated testing without sacrificing realistic behavior patterns
Data Source
AI summary
A method for simulating different traffic situations for an autonomous or semiautonomous test vehicle. The method includes the simulated driving of the test vehicle through a simulated road network, and the simulated randomized driving of other vehicles through the simulated road network. The method also includes the capture of vehicle driving parameters. Further according to the method, there is a determination of whether a predefined traffic situation is satisfied by the test vehicle and at least one of the other vehicles, the at least one other vehicle being within a test zone around the test vehicle. Where the predefined traffic situation is satisfied, randomized driving of the at least one other vehicle can be stopped, and the at least one other vehicle can be made to perform a predetermined driving maneuver. The predetermined driving maneuver can provoke a reaction by the test vehicle.