Virtual Environment Generation Using Mobile Mapping Point Clouds
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Solution Overview
Problem
The verification of autonomous driving systems is hindered by time and cost constraints, as well as the need for extensive manual effort to create diverse virtual environments that mimic real-world scenarios, using high-precision road maps and 3D object models.
Innovation Solution
A method and system that generate a virtual environment by creating meshes from point cloud data using a mobile mapping system, combining road and terrain meshes with 3D object model information to create a realistic simulation for autonomous driving verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual work is performed to match and build data required for simulation environment, then the virtual environment can be created with high precision, but it requires a lot of time and money to diversify the virtual environment
Solution Approach 1:
The patent uses mobile mapping systems to capture real-world geographic environments and creates virtual environments by processing and transforming this captured data. The system generates point cloud data, road maps, and 3D models that replicate real-world scenarios, enabling virtual verification without manual reconstruction. This copying approach maintains high precision while dramatically reducing the time and cost required to create diverse virtual environments.
Solution Approach 2:
The patent replaces manual mechanical work with automated digital processing systems. Instead of manually matching and building data models, the system uses mobile mapping systems with sensors (LIDAR, cameras, GPS) to automatically capture and process geographic data. The automated generation of point clouds, meshes, and virtual environments eliminates time-consuming manual operations while maintaining verification precision.
2Measurement precision
If manual work is performed to match and build data required for simulation environment, then the virtual environment can be created with high precision, but it requires a lot of money to diversify the virtual environment
Solution Approach 1:
The system creates virtual environments by copying real-world geographic data through mobile mapping systems. Instead of manually reconstructing each scenario, the system captures real-world environments and transforms them into virtual models, reducing the resources needed to create diverse verification scenarios while maintaining high precision.
Solution Approach 2:
The mobile mapping system serves multiple functions: capturing geographic data, generating point clouds, creating road maps, and building 3D models. This multi-functional approach consolidates resources and reduces the overall cost and time required to create diverse virtual environments for verification.
3Reliability
If extensive verification scenarios are created before multiple autonomous vehicles operate on real roads, then safety and reliability can be improved, but time and cost constraints make this difficult to achieve
Solution Approach 1:
The system creates virtual copies of real-world environments that can be used for extensive verification scenarios. By capturing and transforming real geographic data into virtual models, the system enables unlimited verification scenarios without the time and cost constraints of physical testing, thereby improving safety and reliability verification.
Solution Approach 2:
The system performs preliminary action by pre-processing and storing geographic data in the form of point clouds, road maps, and 3D models. This preliminary preparation enables rapid generation of diverse verification scenarios without time-consuming manual work during the verification phase, allowing extensive safety testing within constrained timeframes.
Data Source
AI summary
Provided is a method for generating a virtual environment to verify autonomous driving service, which is executed by one or more processors and includes generating a high-precision road map of a specific area using a Mobile Mapping System, generating a first mesh associated with a road in the specific area based on point cloud data of the generated high-precision road map, generating a second mesh associated with a terrain of the specific area, and generating a virtual environment by matching the first mesh and the second mesh.