Driving Simulation Traffic Setup With Randomized Background Vehicles
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Solution Overview
Problem
The existing methods for building a simulated traffic environment for autonomous vehicle testing are inefficient and require extensive manual configuration of background vehicles, leading to low efficiency and realism in the simulation process.
Innovation Solution
A driving simulation method that determines the initial location and speed of background vehicles based on reference parameters and random deviations, allowing for automated setup of a diverse and realistic traffic environment with minimal user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration of numerous background vehicle parameters is used, then the simulation can be detailed and comprehensive, but the setup efficiency is low and the process is time-consuming
Solution Approach 1:
The system automatically generates background vehicle parameters using the generation module, which randomly selects from predefined parameter ranges and combinations. This self-service approach eliminates manual configuration while maintaining simulation detail through automated parameter diversity.
Solution Approach 2:
The patent implements automated parameter generation by changing from fixed manual input to dynamic random selection within predefined ranges. The generation module varies parameters such as vehicle type, speed, trajectory, and timing randomly, achieving both efficiency and simulation richness.
2Ease of operation
If fixed background vehicle parameters are used, then the setup process is simple, but the vehicle behavior lacks diversity and realism
Solution Approach 1:
The system transitions from static fixed parameters to dynamic random parameters. The generation module continuously varies vehicle parameters such as speed, trajectory, and timing within predefined ranges, making the simulation adaptable and realistic while keeping the setup process simple through automation.
Solution Approach 2:
The patent applies parameter changes by implementing random selection from predefined ranges for various vehicle parameters. This allows the system to maintain ease of operation through automated generation while achieving vehicle behavior diversity through variable parameter values.
3Measurement precision
If comprehensive parameter configuration is performed manually, then simulation accuracy can be improved, but the time and computational resources required increase
Solution Approach 1:
The system performs preliminary action by pre-defining parameter ranges and combinations before simulation. The generation module has predetermined valid parameter ranges and selection logic, allowing rapid generation of accurate parameters without manual configuration during the simulation setup phase.
Solution Approach 2:
The automated generation module serves itself by automatically selecting and configuring parameters within predefined ranges. This self-service mechanism maintains simulation accuracy through systematic parameter selection while eliminating time-consuming manual configuration processes.
Data Source
AI summary
This application discloses a driving simulation method performed at an electronic device. The method includes: receiving parameters through a first configuration interface; determining, based on the parameters, a reference vehicle-to-vehicle distance, a reference vehicle speed, and a background vehicle quantity of a target lane; determining an initial location of each of background vehicles in the target lane based on a location of a test vehicle, the reference vehicle-to-vehicle distance, and a random distance deviation; determining an initial speed of each of the background vehicles in the target lane based on the reference vehicle speed and a random speed deviation; and simulating traveling of each of the background vehicles in a simulated traffic environment based on the initial location and the initial speed of each of the background vehicles and the background vehicle quantity.