Autonomous Driving Simulation with Trajectory-Based Sensor Correction
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Solution Overview
Problem
Current simulation methods for autonomous driving vehicles face challenges when the virtual vehicle's driving trajectory deviates from the real trajectory, leading to inaccuracies in perceptual information and potential simulation failures, which are resource-intensive and pose safety risks in real road tests.
Innovation Solution
A simulation test method that adjusts perceptual information in real-time by calculating differences between the real and virtual vehicle's positions and modifying sensor data to maintain alignment, ensuring the simulation proceeds smoothly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual simulation is used to test autonomous driving system, then resource consumption and safety risks are reduced, but simulation accuracy deteriorates when trajectory deviates
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring the trajectory deviation between virtual and real vehicles during simulation, calculating the position difference, and using this feedback to dynamically adjust and correct the perceptual information. This closed-loop feedback ensures that even when trajectory deviations occur, the perceptual information remains accurate by constantly comparing and correcting based on the deviation data.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting the perceptual information parameters (sensor data coordinates) based on the calculated trajectory deviation. When deviation exceeds a threshold, the system transforms and corrects the perceptual information parameters to compensate for the trajectory difference, thereby maintaining simulation accuracy without requiring identical trajectory reproduction.
2Measurement precision
If real road test is conducted to ensure simulation accuracy, then measurement precision is improved, but resource consumption and safety risks increase
Solution Approach 1:
The patent uses copying by creating a virtual vehicle that replicates the real vehicle's driving behavior and environment in a simulated setting. Instead of conducting physical road tests, the system copies the real driving scenarios, sensor data, and trajectory into a virtual environment, maintaining measurement precision through trajectory-based correction while eliminating the safety risks and resource consumption of actual road tests.
3Adaptability or versatility
If trajectory deviation is allowed in virtual simulation, then simulation flexibility increases, but perceptual information accuracy deteriorates
Solution Approach 1:
The patent applies dynamics by making the perceptual information adjustment mechanism dynamic rather than static. The system continuously monitors trajectory deviation in real-time and dynamically adjusts the perceptual information parameters accordingly. This dynamic adaptation allows the simulation to maintain accuracy across varying trajectory conditions, supporting simulation flexibility while preserving measurement precision through real-time parameter transformation based on current deviation states.
Data Source
AI summary
A simulation test method for autonomous driving vehicle includes steps of: obtaining source data; constructing a simulation scene according to the source data; controlling a virtual vehicle to perform a simulation test in the simulation scene; detecting a virtual driving trajectory of the virtual vehicle at a predetermined time interval while performing the simulation test; calculating difference between a first position and a second position; adjusting perceptual information related to a coordinate of the first position as perceptual information related to a coordinate of the second position to obtain modified perceptual information when the difference exceeds a first preset value; controlling the virtual vehicle to perform the simulation test based on the modified perceptual information, and detecting the virtual driving trajectory of the virtual vehicle at the predetermined time interval again. Furthermore, a computer equipment and a medium are also provided.