ReplicaR

The Digital Twin Engine

for Autonomous Driving 

Validate ADAS and autonomous systems at scale with our certified,

scenario-based simulation platform.

Cloud-native. Standards-compliant. Built for safety.

ReplicaR is a cloud-based simulation and validation platform designed to “create a replica of the world” for ADAS and autonomous vehicle development.

It empowers engineering teams to run scalable, scenario-based simulations entirely in software — enabling faster, safer, and more cost-effective testing across real-world traffic conditions and Operational Design Domains (ODDs).

High-Fidelity, Realistic Simulation

Create accurate virtual environments using physics-based sensor modeling. Simulate camera, LiDAR, radar, and object behavior under varied conditions for closed-loop ADS testing.

Comprehensive Scenario Coverage

Rapidly generate diverse, complex, and edge-case traffic scenarios with AutoScenario and MyScenario to uncover safety-critical events earlier in the development cycle.

Scalable Cloud-Based Platform

Access ReplicaR from any compatible machine. Run thousands of simulations in parallel, automate test suites, and integrate with CI/CD pipelines.

Synthetic Data Generation at Scale

Produce labeled sensor datasets (ROS2, OSI3) for perception model training and validation — with configurable weather, lighting, and object interactions.

Developer-First Automation (ReplicaR Connect SDK)

Programmatically manage your simulation pipeline using the Python SDK. Trigger simulations, configure parameters, and retrieve results via code.

Certified by TÜV SÜD (VIVALDI)

ReplicaR is the world’s first ADS validation platform to earn TÜV SÜD’s VIVALDI certification — proving its readiness for virtual homologation and regulatory testing.

Automated Scenario Generation:

Create complex traffic scenarios with ease using AutoScenario and MyScenario.

AutoScenario employs AAI’s naturalistic traffic simulation (data-driven) to generate realistic scenarios automatically, while MyScenario uses Morphosynthesis – a knowledge-based, statistical approach – for controlled scenario design. With an extensive library of ASAM OpenDrive road maps (covering Europe, and extendable worldwide) and support for custom map imports, ReplicaR can generate critical scenarios covering urban, highway, and edge-case conditions. Users can configure traffic density, vehicle types (cars, buses, pedestrians, etc.), driver behaviors, and even AI-based agent logic to model a wide range of driving situations. This powerful scenario-based simulation capability ensures that even rare and dangerous situations can be reproduced and tested safely in the virtual world.

Sensor Simulation:

Dual approach - object-list & physics-based

ReplicaR provides a dual approach to sensor simulation to cover different testing needs. For rapid algorithm testing, a low-fidelity object-list simulator feeds your perception and planning stack with an abstract list of nearby objects (vehicles, pedestrians, etc.) in each scenario. For more exhaustive testing, a high-fidelity sensor simulator produces physics-based sensor data – such as camera images, LiDAR point clouds, and radar returns – modeling the raw signals an autonomous vehicle’s sensors would generate. This allows closed-loop testing of the full perception pipeline under realistic conditions. Engineers can easily swap between object-level simulation (for speed and volume) and full sensor physics (for realism), ensuring both the efficiency and accuracy of ADS validation are maximized.

Synthetic Data Generation:

Beyond live simulation, ReplicaR can generate synthetic sensor datasets in standard formats for offline analysis and training.

The platform’s SynthData and SenVironment tools produce camera and LiDAR data streams logged as ROS 2 bags or ASAM OSI (Open Simulation Interface) recordings. This capability is ideal for open-loop perception validation – e.g. testing an object detection model on thousands of varied scenes – and for augmenting real-world data when training AI models. All synthetic data is timestamped and labeled, and can emulate different weather, lighting, and traffic conditions, providing rich and reproducible inputs for ADAS sensor fusion and vision algorithms. Moreover, entire 3D scene reconstructions can be exported (FBX format) for further visualization or reuse in other tools.

OpenDRIVE Map Support & Validation:

Native support of the ASAM OpenDRIVE format

Users can import their own detailed maps or tap into ReplicaR’s extensive database of digital roads. Every imported map undergoes automated MapChecker validation – checking for logical consistency, connectivity, and adherence to traffic flow rules – ensuring that scenarios run on error-free, geometrically correct roads. The platform also includes tools like MyMaps for editing or creating custom OpenDRIVE maps, and performs basic geometric sanity checks (continuity, overlap, etc.) on the infrastructure. By embracing open map standards and validation, ReplicaR guarantees that your virtual test environments accurately reflect real-world road conditions and can interoperate with other OpenX tools.

Developer-Friendly SDK:

For advanced users and continuous integration workflows

ReplicaR provides ReplicaR Connect, a Python-based SDK and API. This allows engineers to programmatically control the platform – from logging in to the cloud, managing test vehicles and environments, to triggering scenario generation and simulation runs – all via code. The SDK exposes comprehensive endpoints for automation: you can script the creation of test suites, parameterize scenarios, schedule batch simulations, and retrieve results without ever clicking in the UI. This integration capability makes it easy to incorporate ReplicaR into your development pipeline (for example, running nightly regression tests or feeding results into CI/CD systems). By empowering teams with a programmatic interface, ReplicaR ensures simulation at scale is efficient and fits seamlessly into modern DevOps practices in automotive.

Co-Simulation with Leading Engines:

ReplicaR ScenRun offers flexible simulation execution, from fast object-list simulations to high-fidelity physics-based sensor simulations

The platform integrates seamlessly with third-party simulation engines like dSPACE, CARLA, and esmini, allowing teams to incorporate their preferred vehicle dynamics or sensor rendering engines into the workflow. This co-simulation support means you can validate your ADAS/ADS algorithms in diverse environments – for example, using CARLA for photorealistic sensor feedback or connecting to HIL systems – all orchestrated through ReplicaR’s unified interface. By supporting multiple simulation backends and adding new ones easily, ReplicaR protects your investment and adapts to your existing toolchain.

TÜV SÜD Certified (Safety & Standards)

ReplicaR is the first ADS simulation platform to receive independent certification for its quality and safety processes.

This confirms its reliability for safety-critical validation, making it a trusted tool for OEMs and suppliers in homologation workflows.

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