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Multi-sensor simulation engine
aiSim™ AIR is the core of the aiSim 5 simulation tool, enabling AI-based rendering of multi-sensor simulations. aiSim delivers high-quality virtual sensor data streams while optimizing resource usage to ensure ISO 26262 compliance with high parallelism, reduced memory footprint, balanced workloads, and asynchronous data transfers.
Large-scale generation of synthetic data
With the aiFab module, aiSim 5 takes synthetic data generation to the next level. aiFab redefines smart scene creation with features such as scene changes, detailed data statistics, and an intuitive user interface. At the same time, aiSim 5 simplifies environment and scene creation using technology based on large-scale language models, making smart scenes more accessible.
Significant improvement in accessibility and adaptability
aiSim 5 provides open APIs for sensor simulation, scene and map management, and vehicle dynamics, and is equipped with a comprehensive SDK for seamless integration into industry-standard toolchains for better interoperability. At the same time, it supports local GUI deployment and web-based cloud deployment to ensure a good user experience.
AI algorithm generates scene editing
With the addition of external rendering APIs and advanced capabilities of the simulation engine, aiSim 5 can now easily simulate mixed traffic scenes in realistic environments generated by AI algorithms like NeRF or 3D Gaussian Splatting.
Self-developed engine provides accurate environment simulation.
ADAS/AD development relies on sensor-aware environments. aiSim's self-developed real-time rendering engine can accurately simulate the relevant sensor-aware environments, create physical environments and weather effects with full certainty and repeatability, and always provide real and reliable sources of information for the simulated scenarios, thus providing a solid foundation for neural network-based multi-sensor sensing systems.
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
- Showcard:NVIDIA GeForce RTX 3080Ti (or higher)
- Light tracking:For light-tracking sensor simulations (cameras, laser radar, radar)
Requires a GPU with optical tracking, such as the 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 supporting Khronos Vulkan
- 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_STRUCTURE
- 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 performance when simulating complex environments such as city scenes or scenes with many light sources at night; therefore, optimal performance cannot be guaranteed.
(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
Showcard:NVIDIA GeForce GTX 1080Ti (or higher)
Hard disk space:200 GB
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