rFpro Launches AV Elevate Solution for Autonomous Driving Simulation Testing

I. Introduction to AV Elevate
With the accelerated implementation of L3+ autonomous driving technologies, traditional real-world vehicle testing faces challenges such as soaring costs, insufficient scenario coverage, and difficulties in reproducing extreme conditions. rFpro has introduced a new product, AV Elevate—a highly integrated simulation solution designed to accelerate the development of autonomous driving technology. Leveraging multiple innovative technologies, this product brings unprecedented efficiency and precision to the industry.

II. Core Technical Highlights of AV Elevate

1. Comprehensive Autonomous Driving Development and Testing Services
   The AV Elevate platform enables development engineers to adjust, train, and test the entire autonomous driving technology architecture within a unified platform. This includes everything from fine-tuning sensor perception systems to training perception algorithms and testing control algorithms, ensuring rapid development cycles while significantly reducing costs.

   
   

2. High-Fidelity Sensor Models

The AV Elevate platform integrates high-fidelity sensor models for all major autonomous driving sensors available on the market, including LiDAR, millimeter-wave radar, and cameras, enabling sensor fusion testing with ultra-high simulation accuracy. The synchronous architecture of AV Elevate supports parallel testing of hundreds of sensors, making it an ideal solution for optimizing sensor configurations. rFpro’s extensive standard sensor model library also includes digital twins of commercially available sensors, such as Velodyne’s HDL-32 LiDAR, allowing development to proceed even before physical hardware is available.
The following video demonstrates the simulated effect of an intelligent camera sensor in rFpro.

1. High-Fidelity Sensor Models
The AV Elevate platform integrates high-fidelity sensor models for all major autonomous driving sensors available on the market, including LiDAR, millimeter-wave radar, and cameras, enabling sensor fusion testing with ultra-high simulation accuracy. The synchronous architecture of AV Elevate supports parallel testing of hundreds of sensors, making it an ideal solution for optimizing sensor configurations. rFpro’s extensive standard sensor model library also includes digital twins of commercially available sensors, such as Velodyne’s HDL-32 LiDAR, allowing development to proceed even before physical hardware is available.
The following video demonstrates the simulated effect of an intelligent camera sensor in rFpro.

2. Automated and Scalable Scenario Building Tools
The simulation manager of the AV Elevate platform simplifies the setup and execution of test scenarios. It supports industry-standard frameworks such as OpenSCENARIO and OpenDRIVE, allowing integration with third-party databases. It enables rapid changes to elements such as sensor configurations, traffic conditions, pedestrians, weather, and street facilities. Additionally, it supports scenario generalization, helping users create hundreds of edge-case hazardous scenarios for testing.
The following video demonstrates rFpro’s scalable and diverse traffic flow effects.

3. Automated and Scalable Scenario Building Tools

The simulation manager of the AV Elevate platform simplifies the setup and execution of test scenarios. It supports industry-standard frameworks such as OpenSCENARIO and OpenDRIVE, allowing integration with third-party databases. It enables rapid changes to elements such as sensor configurations, traffic conditions, pedestrians, weather, and street facilities. Additionally, it supports scenario generalization, helping users create hundreds of edge-case hazardous scenarios for testing.
The following video demonstrates rFpro’s scalable and diverse traffic flow effects.

4. High-Precision Generation of Synthetic Training Data
In traditional testing, developers must manually label each frame of video, a time-consuming and error-prone process. AV Elevate utilizes engineering-grade synthetic training data to automate this process, increasing speed by 100 times and improving cost efficiency by 150 times, completely revolutionizing traditional workflows.

5. Advanced Rendering Technology for Exceptional Simulation Effects
At the core of AV Elevate is rFpro’s industry-leading ray-tracing rendering technology and physically modeled virtual environments. With a library of over 180 real-world digital twins, AV Elevate generates high-fidelity data that accurately replicates how sensor systems perceive the world, providing the highest-quality training data and testing environments for autonomous driving simulation.
The following video demonstrates a parking test scenario simulation effect generated by rFpro using ray-tracing rendering technology.

III. Industry Empowerment through AV Elevate

AV Elevate provides diverse simulation testing scenarios for the autonomous driving industry:

1. End-to-End Autonomous Driving Testing

The AV Elevate platform, centered on rFpro’s physically modeled virtual environments and ray-tracing rendering technology, offers ultra-realistic test scenarios, including urban streets, highways, and parking lots. The road surface models are accurate to within 1 millimeter, and every scene element possesses real physical properties.

Users can also customize scenarios using AV Elevate’s simulation management tools. For example, they can adjust weather conditions, traffic flow, road conditions, and even simulate potential sensor interferences (such as light reflections or obstructions). This ensures coverage of both常规 driving and edge-case scenarios.

The AV Elevate platform builds high-precision sensor models, including cameras, LiDAR, and millimeter-wave radar. During testing, virtual sensor system perception data is generated, calculated based on physical-level models to replicate various real-world details. Developers feed this sensor data into the perception algorithms of the autonomous driving system to test its accuracy in target detection, scene segmentation, and distance measurement.

After perception data is generated, AV Elevate passes it to the decision-making module of the autonomous driving system for path planning and behavioral decision-making. The platform supports the creation of complex scenarios, such as priority conflicts at intersections, sudden pedestrian crossings, or abrupt braking of preceding vehicles, to test whether the decision-making algorithm can produce safe and reasonable responses.

Once decisions are made, AV Elevate transmits commands to the vehicle control module, simulating the vehicle’s actual execution actions (e.g., steering, accelerating, braking). The platform integrates detailed vehicle dynamic models, ensuring test results reflect real physical behaviors.

2. Support for Large-Scale Scenario Testing and Validation
Leveraging its synchronous architecture and compatibility with cloud-based high-performance computing (HPC), the AV Elevate platform can run thousands or even millions of driving scenarios in parallel. This testing capability is ideal for validating the long-term performance and stability of autonomous driving systems.

3. Support for Various In-Loop Simulation Tests
The AV Elevate platform supports Hardware-in-the-Loop (HIL) testing, integrating actual hardware (e.g., sensors, ECUs) into the simulation environment to run in coordination with virtual software. This ensures seamless hardware-software integration, such as testing the compatibility of LiDAR with algorithms.

It also supports Software-in-the-Loop (SIL) testing, running all autonomous driving algorithms in a pure software environment without hardware involvement, which is ideal for early-stage algorithm development, rapid debugging, and code optimization.

Additionally, it supports Driver-in-the-Loop (DIL) testing, where real drivers interact with the autonomous driving system through driving simulators to test human-machine collaboration effects and optimize the user experience for L2/L3 autonomous driving.

IV. Conclusion
rFpro’s AV Elevate solution sets a new benchmark for autonomous driving simulation testing. Its highly integrated and flexible platform design provides comprehensive empowerment support for the industry. As autonomous driving technology continues to evolve, whether you are an OEM, Tier 1 supplier, or sensor developer, AV Elevate will help you bring safer and more reliable autonomous driving technologies to market faster.

In the next installment, we will introduce more simulation testing application cases based on the rFpro platform. Stay tuned for updates and discussions!