Virtual LiDAR Data Generation for Autonomous Vehicle Testing
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Solution Overview
Problem
Current autonomous driving systems face challenges in testing and simulating real-world driving scenarios due to the high cost and space limitations of actual road testing, necessitating a virtual environment that accurately processes LiDAR data for precise autonomous vehicle testing.
Innovation Solution
An apparatus and method for generating virtual LiDAR data, comprising a LiDAR data collection unit, a database, a virtual environment generation engine, and a LiDAR data generation unit, which collects LiDAR data in a real environment, stores it, generates a virtual environment, and produces virtual LiDAR data corresponding to a virtual moving means, using a laser light emitting and receiving unit, point cloud map production, and mesh conversion to calculate virtual intensity based on intensity information across coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-world road testing is conducted for autonomous vehicle development, then testing accuracy and reliability are improved, but testing cost and space requirements increase
Solution Approach 1:
The patent creates virtual copies of real-world driving environments, including 3D models of roads, buildings, and objects, along with synthetic LiDAR data that replicates real sensor inputs. This copying approach enables accurate autonomous vehicle testing in a virtual space, eliminating the need for expensive and space-consuming physical road testing while maintaining testing reliability
Solution Approach 2:
The patent introduces a virtual environment as an intermediary between real-world testing and simulation. This intermediary layer includes virtual LiDAR data generation, point cloud map creation, and 3D scene reconstruction that bridges the gap between physical reality and digital simulation, allowing accurate testing without direct real-world deployment
2Device complexity
If virtual environment testing is implemented, then testing cost and space requirements are reduced, but testing realism and accuracy may deteriorate
Solution Approach 1:
The patent performs preliminary actions by collecting real LiDAR data during actual vehicle operation and using this data to construct accurate 3D point cloud maps and virtual environments before testing begins. This preliminary data collection and environment construction ensures that the virtual testing space accurately reflects real-world conditions, maintaining testing realism while reducing costs
Solution Approach 2:
The patent transforms real-world LiDAR measurements into virtual LiDAR data by changing the parameter space from physical sensor readings to synthesized data in a virtual environment. This parameter transformation maintains the statistical and spatial characteristics of real data while enabling cost-effective virtual testing through techniques like point cloud sampling, filtering, and virtual sensor data generation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a test environment close to actual driving conditions, enabling effective virtual LiDAR data generation for autonomous vehicle testing, reducing the need for expensive and space-constrained real-world testing setups.
Implementation Method 1
the collected LiDAR data may include intensity information of the laser that is emitted through the laser light emitting unit and reflected off from an object
Data Source
AI summary
Provided is a technology for providing a virtual environment for testing an autonomous vehicle driving, in which an apparatus for generating virtual LiDAR data in a virtual environment includes a LiDAR data collection unit installed in a moving means driving in a real environment to collect LiDAR data, a database configured to store the collected LiDAR data, a virtual environment generation engine configured to generate a virtual environment, and a LiDAR data generation unit configured to generate virtual LiDAR data corresponding to a movement of a virtual moving means in the generated virtual environment.