Anyverse ADAS & AD

High-quality synthetic data for ADAS and autonomous driving AI

Accelerate ADAS and AD development with high-quality synthetic data

Test and validate in a fraction of the time and cost you would invest using real-world footage. Anyverse ADAS & AD enables the generation of any scenario with pixel-accurate synthetic data and ground truth.

Deploy trustworthy, robust AI-defined systems

Build trustworthy autonomous driving and drive-assist systems to meet US and EU regulations. Our modular platform allows you to model any environment, and programmatically add high-quality vehicles and pedestrians to follow specific behaviors, and ultimately eliminate bias and make your AI more robust.

Several RGB samples after applying different camera sensor settings

Recreate extreme scenes difficult to find in the real world

Anyverse ADAS & AD allows you to recreate any corner case - extreme situations, no matter how implausible they may be:

Simulate any weather condition: rain, snow, hail, fog, smoke, glare, and more.
Built-in assets library: vehicles, pedestrians, cyclists, buildings, street furniture, obstacles, vegetation, and more.
Simulate any environment: urban, suburban, rural, and more.

Generate the data you need for wide range of autonomous vehicles and ADAS capabilities:

Get started with Anyverse ADAS & AD.
The synthetic data application for ADAS and Autonomous Driving

FAQs

Synthetic Data for ADAS & autonomous driving

What is Anyverse ADAS and how does it work?

Anyverse ADAS is a web-based application that enables users to generate high-fidelity, synthetic data for training, testing, and validating ADAS and autonomous driving systems. It shares the same user-friendly interface and workflow as Anyverse InCabin, making it easy to configure sensor-accurate scenarios without writing code. The platform uses physically accurate simulation to create pixel-perfect outputs for a wide range of driving situations.

What use cases does it support?

Anyverse ADAS supports a wide variety of common and edge-case driving scenarios, including:

  • Lane keeping and lane departure warning
  • Pedestrian and cyclist detection
  • Traffic sign and traffic light recognition
  • Vehicle detection and classification
  • Adaptive cruise control
  • Automatic emergency braking (AEB)
  • Sensor fusion scenarios for L2/L3 autonomy
  • Intersection handling, overtaking, merging, and more.
What types of sensors and outputs are supported?

Anyverse ADAS supports the simulation of multiple sensor modalities with physics-based accuracy, including:

  • RGB cameras
  • Near-Infrared (NIR)
  • Infrared (IR) and thermal cameras
  • LiDAR
  • Radar

Each sensor is simulated with its physical properties in mind, ensuring realistic interactions with light, materials, and the environment. This leads to highly reliable synthetic data that mimics real-world behavior in diverse conditions.

How is it different from other simulation or synthetic data tools?

Unlike generic 3D engines or open-source tools, Anyverse ADAS is built on the Anyverse platform—a technology stack purpose-built for computer vision. At its core is a proprietary render engine capable of simulating light transport with physical accuracy. This enables the generation of high-fidelity, sensor-accurate data with pixel-level precision, including radiometric and spectral fidelity when required. The result is unparalleled realism and domain transferability, far beyond what’s possible with traditional game-engine-based simulators.

What kind of customization or vehicle-specific modeling is available?

Users can simulate any vehicle make or model, body types, sensor placements, and materials. Environments, lighting conditions, traffic density, and scene objects are also fully customizable, making the platform adaptable to any ADAS R&D pipeline.

How does it support regulatory and safety validation?

Anyverse ADAS includes scenario libraries aligned with Euro NCAP protocols, supporting OEMs and Tier 1 suppliers in generating data that helps validate and certify ADAS performance according to key regulatory and consumer safety benchmarks like UNECE and Euro NCAP.

Can I simulate edge cases, rare weather, or sensor failures?

Yes. One of the biggest advantages of synthetic data is the ability to generate corner cases and rare events on demand. Anyverse ADAS lets you simulate complex and hazardous scenarios, including sensor dropouts, occlusions, sensor crosstalk, and low-visibility conditions—without putting real drivers or vehicles at risk.

What environmental variability can be simulated?

With Anyverse ADAS, you can simulate an unlimited range of weather and lighting conditions, including:

  • Rain (light to heavy)
  • Snow and hail
  • Fog and smoke
  • Glare and direct sunlight
  • Day/night transitions and shadows
  • Wet or reflective road surfaces

     

This allows teams to stress-test their systems under real-world challenges and increase the robustness of AI models.

What kind of objects and scene elements are included?

Anyverse ADAS comes with a rich, built-in asset library featuring:

  • Vehicles (cars, trucks, motorcycles, emergency vehicles)
  • Pedestrians and cyclists (with varied demographics and behaviors)
  • Buildings, traffic infrastructure, street furniture, vegetation
  • Obstacles like construction barriers, debris, animals, etc.

     

All elements are physically modeled and can be customized or extended to reflect region-specific conditions.

What types of scenes or environments can be simulated?

You can create driving scenarios in any type of location, including:

  • Urban city centers
  • Off-road
  • Rural highways
  • Tunnels, intersections, roundabouts, parking lots
  • Custom geo-localized or fictional layouts

     

Whether you’re training for dense traffic in Europe, China, or wide-open highways in the U.S., the platform adapts to your needs.

What kind of data is included in the output dataset?

Anyverse | ADAS generates rich, multi-channel outputs using Arbitrary Output Variables (AOVs). These include:

  • Color Image
  • Label  (semantic segmentation)
  • Instance 
  • Material 
  • Depth 
  • 3D Position 
  • Normal 
  • Roughness 
  • Reflectance/Albedo 
  • Radiance 
  • Spectral Radiance 
  • Raw Image 
  • Motion Vector 2D 
  • Motion Vector 3D 

You can configure and export exactly what your training pipeline or annotation workflow requires.

How do I get started or request a demo?

Getting started is easy. You can request a tailored demo directly from the Anyverse website. Whether you’re building highway pilot features, multi-sensor fusion models, or low-speed urban automation, our team will guide you through a setup that fits your development stage.