Autonomous Vehicle Simulation for Dynamic Traffic Behavior Testing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional simulators for autonomous vehicle motion planners fail to realistically model the behaviors of dynamic vehicles, making it difficult to test and evaluate autonomous vehicle motion planning systems effectively, and lack the efficiency and capacity needed for an acceptable test tool.
Innovation Solution
An autonomous vehicle simulation system that generates simulated map data and perception data with simulated dynamic vehicles exhibiting various driving behaviors, allowing for the testing and analysis of motion planners in a realistic environment, including lane changes, overtaking, and acceleration behaviors, and enabling the playback and modification of recorded motion data for further analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional simulators are used to test autonomous vehicle motion planners, then testing can be performed without real world risks, but the simulators fail to realistically model the behaviors of dynamic vehicles
Solution Approach 1:
The patent creates virtual copies of real dynamic vehicles (NPC vehicles) that replicate human driving behaviors. These simulated vehicles copy the complex, unpredictable behaviors of real drivers including lane changes, overtaking, and acceleration patterns, providing realistic testing conditions without real-world risks.
Solution Approach 2:
The system dynamically adjusts parameters of simulated dynamic vehicles to model different driving behaviors and scenarios. By changing behavioral parameters, the simulator can adapt to various driving conditions and test motion planners against diverse traffic patterns while maintaining realistic vehicle responses.
2Productivity
If conventional simulators are used for testing, then resource consumption is reduced compared to real world testing, but the efficiency and capacity are insufficient for effective motion planner evaluation
Solution Approach 1:
The system pre-configures multiple dynamic vehicle models with different behavioral characteristics before testing begins. This preliminary setup allows the motion planner to be tested against various traffic scenarios simultaneously or in rapid succession, significantly improving testing efficiency and capacity compared to conventional sequential testing approaches.
Solution Approach 2:
The simulator enables continuous testing operations by rapidly resetting and reconfiguring test scenarios without requiring physical repositioning of vehicles or equipment. Multiple test cases can be executed in continuous sequence, maximizing productivity and reducing the total time required for comprehensive motion planner evaluation.
Data Source
AI summary
An autonomous vehicle simulation system for analyzing motion planners is disclosed. A particular embodiment includes: receiving map data corresponding to a real world driving environment; obtaining perception data and configuration data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating simulated perception data for each of the plurality of simulated dynamic vehicles based on the map data, the perception data, and the configuration data; receiving vehicle control messages from an autonomous vehicle control system; and simulating the operation and behavior of areal world autonomous vehicle based on the vehicle control messages received from the autonomous vehicle control system.