aiSim 4 - aiMotive

aiSim 4

The world's first ISO26262 ASIL-D certified simulator tool

aiSim 4

aiSim 4: The ultimate tool for ADAS & AD software, sensors, and functions validation

Virtual testing has become a significant part of ADAS & AD software development. After decades of leveraging simulation to develop new automotive technologies, virtual testing is now supplementing the conventionally conducted proving ground and public road tests. An extensive range of physical testing limitations can be overcome by virtualizing elements of the AD certification pipeline. Test repeatability, the ease of scaling up the number of test scenarios, a safer technology assessment, and significant cost and time reduction are just a few examples. Validating an AD software’s proper operation using traditional testing methods would take years, if not decades. aiSim 4 provides an ideal testing environment to investigate and validate AD systems' performance in high-mileage tests and adverse driving scenarios, focusing on virtual, high-fidelity sensor data.

Deterministic environment and weather simulation

ADAS & AD functions heavily rely on sensors to perceive the environment. For this, it is essential to simulate the environment perception of the involved sensors correctly. aiSim 4's state-of-the-art technology that appropriately simulates the physical environment and weather effects. It can consistently provide a single source of truth for all the simulated types, which is crucial for multi-sensor, neural network-based perception systems.

aiSim's proprietary, real-time rendering engine addresses all the requirements for a physically correct environment and weather simulation with complete determinism and repeatability. In aiSim 4, a broad range of weather conditions, including snowstorms, heavy rain, fog, and sunshine, can be simulated by leveraging state-of-the-art ray-tracing and rasterization technologies. In addition, multiple road parameters, including road painting deterioration and road degradation, can be easily configured to create even more diverse and challenging environments for perception stacks.

Physics-based sensor simulation in real time

Sensor simulation is a pivotal piece of AD software stacks' testing chains as the information of the surrounding environment, known by the autonomous vehicle, is provided by the sensors. In aiSim 4, sensor models utilize a physics-based approach to accurately generate a comprehensive range of simulated conditions and environmental interactions. The extensive physics-based and validated sensor model library includes cameras, lidars, radars, and ultrasonic sensors. A few of the many use cases for sensor simulation:

Simulate highly complex sensor setups in real-time due to aiSim's highly scalable architecture, which allows the distribution of raytracing-based rendering over multiple GPUs.
Test how sensor degradations, including condensation or mud, and lens distortions like chromatic aberration, lens flare, or bloom, impact the perception capabilities of camera sensors.
Prototype with new sensor configurations quickly to test their impact on perception performance. Camera, lidar, and radar sensor frustum visualization help speed up the optimal sensor placement on the ego-vehicle with regards to the system requirements.

Synthetic data generation at scale

Data is critical to neural network (NN) development. Automatic annotation is the most effective and cheapest way to generate training and validation data from real-world recordings. But what about hard-to-capture scenarios or corner cases that hardly ever occur in real life? Automated driving systems still need to be aware of such events.

aioSim, combined with aiFab, supports the simple generation of scenarios at scale, with domain randomization, to replicate the great variability in real-world data. It covers locations and assets for various AD use cases, including highway, urban, and parking scenarios. Once the data is generated, it provides statistics and visual feedback so that users can understand their synthetic data.

Cloud-native UI & Open SDK

In aiSim 4, all the GUI functionalities will be available in a web-native user interface, ensuring a seamless customer experience and deployment as well as eliminating installation requirements in the customer environment.

aioSim is provided with a comprehensive software development kit (SDK) that enables developers to leverage aiSim's capabilities. In the SDK of aiSim 4, a handful of APIs and interfaces enable tailoring aiSim to the users' needs and support a seamless and performance integration in customer toolchains.

Sensor API allows the development of custom sensor models or the integration of 3rd party sensor models. The SDK comes with built-in sensor plugin implementations and source code examples that can be used instantly in the simulation.
Scenario API enables to develop and use an application that can control the actors of a scenario, i.e., the static and dynamic objects in the scene such as exo-vehicles, pedestrians, obstacles, etc.

Mature 3D asset pipeline

aiSim 4 provides an extensive set of 3D assets and tools required for efficient content creation & import to easily set up high-fidelity 3D environments.

Vehicle models: pre-built, high-quality models, including passenger vehicles, trucks, emergency vehicles, trailers, truck trailers, motorcycles, vans, and forklifts.
VRUs: various pedestrians, bicyclists, and people with wheelchairs, segway, and scooters with recoloring option. Integration of 3rd-party 3D human asset library with posed, rigged, and animated models.
Maps: covering all the relevant ODDs, including highway, urban, country roads, and parking garages. The modular map pipeline can handle the most common HD map formats & vendors. Integration with RoadRunner(TM) to create and import custom maps into aiSim.
3D assets: thousands of 3D models, including barriers, posts, road signs, signs, traffic lights, and other road furniture. 3D asset creation, import and customization are enabled by the aiSim Unreal Editor Plugin supporting Unreal 5(TM).
Scenarios: a library of 1,500+ pre-defined scenario templates complemented by 100+ event triggers and 50+ evaluation condition parameters. Scenario creation and customization is enabled by aiSim's Scenario Editor.

Want to know more about the technical details?

Read aiSim's specification

From supported operating systems to vehicle dynamics and scenario database – you can find out what aiSim 4 offers to accelerate your development.

See the specification sheet

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