aiSim™
World's First ISO26262 ASIL-D Certified Simulator Tool
Virtual Validation Kit from Concept to Production
Simulation has long been a staple of the aviation industry, where safety levels are much higher than in road transportation. While the automotive industry also relies on simulation, autonomous driving poses a new challenge, and Euro NCAP's announcement that future safety tests will rely more and more on simulation illustrates the importance of simulation. As a complete CI/CD simulation pipeline, aiSim is a solution built specifically to meet this challenge!
Using state-of-the-art ray tracing rendering technology and particle simulation to...Simulates a variety of weather conditions, including snowstorms, heavy rain, fog and sunshine
Real-time simulation of complex sensor setups byDistributed rendering support across multiple GPUs to enableHighly optimized execution and fullyRepeatability
High-fidelity sensor simulation brings outputs into line with the real worldIndistinguishability, combined with domain randomization, ensures that aiFab can be easily implemented with variability.
All functions are available in theavailable in the cloud-native user interface, ensuring that theSmooth user experience. In addition.aiSim's open SDK allows developers toTake full advantage of aiSim's capabilities
aiSim 4 provides an extensive set of 3D assets and the ability to create diverse, high-fidelity 3D environments.All relevant tools required, including vehicles, vulnerable road users, maps, 3D assets and scenarios
aiSim is the world's first ISO 26262-compliant Certified automotive simulators for verification ofand confirmation. The certification Covers all of its features, including
Simulation of all major sensor modes
View aiSim™ features
Features and Benefits
aiSim Designed to Accelerate ADAS and AD Software Development
Real-time, deterministic simulation engine
Designed to meet all the requirements of physically correct weather and environment simulations, aiSim's proprietary rendering engine provides advanced end-to-end testing capabilities from large-scale test pipelines to challenging HiL setups.
In aiSim 4, state-of-the-art rasterization and light-tracing rendering technologies can be used to simulate a wide range of weather and environmental conditions, including snowstorms, heavy rain, fog, and sunlight. In addition, road paint deterioration and road degradation can be easily configured to create more challenging environments for perceptual systems.
Physically based sensor modeling
Sensor simulation is a key part of the self-driving software stack testing process because information about the environment around the self-driving vehicle is obtained through sensors.
Modeling of sensors requires a physically based approach to accurately generate comprehensive simulations of conditions, environmental interactions, and sensor performance degradation.aiSim 4 provides an extensive library of physically-based and validated sensor models, including cameras, laser radar, radar and ultrasonic sensors.
Large-scale synthetic data generation
aiSim, in conjunction with aiFab, supports simple generation of large-scale scenes with domain randomization to replicate large variations in real-world data.
It covers locations and assets for a variety of automated driving use cases, including highway, city, and parking scenarios.After the data is generated, it provides statistics and visual feedback so that users can understand their synthesized data in detail.
Technical Specifications
Configuration Recommendations
optimal configuration
Comprehensive Weather and Traffic Simulation Using the Widest Range of Sensor Models in Computationally Intensive Simulations
Computer Configuration
- CPU. 7th Generation Inter Core i7 processors (or higher)
- Memory:32 GB
- Hard disk space:200 GB
- Hidaka:NVIDIA GeForce RTX 3080Ti (or higher)
Light tracking:For optical tracking sensor simulations (camera, lidar, radar), a GPU with an optical tracking configuration is required, e.g. NVIDIA GeForce RTX 2080Ti
- Titan RTX
- GeForce RTX 3000 Series
- GeForce RTX 4000 Series
- GeForce RTX 3000 Series
- Quadro RTX 3000
- Quadro RTX 4000
- NVIDIA RTX A5000
Supported Platforms
- Windows 10 64 bit
- Ubuntu 18.04 and 20.04
performances
- Recommend the best configuration of aiSim to realize its full potential.
Software Configuration
- Latest GPU Drivers with Khronos Vulkan Support
- For NVIDIA cards used on Windows 10, it is recommended to install the GeForce Game Ready driver.
- For Ubuntu systems, it is recommended to get the latest Nvidia drivers through the Graphics Drivers PPA.
- 7-Zip
- Python 3
- Git Bash for Windows
- VK_EXT_SCALAR_BLOCK_LAYOUT
- VK_KHR_SHADER_FLOAT_CONTROLS
- VK_EXT_DESCRIPTOR_INDEXING
- vk_khr_spirv_1_4
- VK_KHR_ACCELERATION_STRUCTUR
- vk_khr_ray_tracing_pipeline
- VK_KHR_MAINTENANCE3
- vk_khr_pipeline_library
- VK_KHR_DEFERRED_HOST_OPERATIONS
- vk_khr_buffer_device_address
- CMake 3.26 or later
- Python 3
- Visual Studio 2019 16.10 and 16.11 → Microsoft Visual C++ Compiler 14.29
- Visual Studio 2022 17.2 → Microsoft Visual C++ Compiler 14.32
- Ubuntu 20.04 → GCC 9.4.0 and Clang 10.0 (with libstdc++)
- Ubuntu 22.04 → GCC 11.4.0 and Clang 14.0 (with libstdc++)
- CMake 3.26 or later
Base Configuration
CPU only simulation.
and the use of object-level sensors.
- CPU. 7th Generation Inter Core i7 processors (or higher)
- Memory:8 GB
- Hard Disk:200 GB
The aiSim Normal Configuration is an example of deploying aiSim on a lower performance device. It may affect the modeling
Performance in complex environments, such as city scenes or scenes with many light sources at night; therefore, there is no guarantee of optimal performance.
Good performance.
(The NVIDIA GTX 1050Ti does not support optical tracking sensor emulation.)
Upgraded Configurations
Combined with camera sensors, using object-level simulation.
No need for more complex light tracking
CPU. 7th Generation Inter Core i7 processors (or higher)
Memory:32 GB
Hidaka:NVIDIA GeForce GTX 1080Ti (or higher)
Hard disk space:200 GB
Please contact us
Our team is ready to work with exciting and ambitious clients. If you are ready to partner with us, please contact us.