Quick Specs
Enrich your sensor perception test cases and coverage with accurate real-time synthetic data. Set up multi-sensors simulation in SiL or HiL context toguarantee your ADAS/AV system performance under any operating condition.
Ansys AVxcelerate Sensors
Test and Validate Sensor Perception for Autonomous Vehicles
Ansys AVxcelerate provides accurate sensor simulation capabilities, enabling you to test your autonomous systems, including sensor perception, faster than relying only on actual driving or recorded data.
Ansys AVxcelerate Sensors
Realistic Driving Scenarios using the Driving Simulator of Your Choice
Ansys AVxcelerate Sensors provides physically accurate sensor simulation for autonomous system testing with sensor perception. Save testing time and cost while increasing perception performances for the camera, LiDAR, radar, and thermal camera sensors. Leveraging AVxcelerate's real time capabilities, perform virtual testing in Software-in-the-loop or Hardware-in-the-loop context following the progress of your design cycles.
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Camera, LiDAR, radar and thermal sensors
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Accurate physics-based real time sensors
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SiL, HiL testing
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Open interoperability with any workflow
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Driving simulator agnostic
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Radar. LiDAR Sensor -
Camera Sensor -
Thermal Camera sensor
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Ground-Truth Sensors -
Multi-Sensor Simulation -
SiL, HiL connectivity
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Open Architecture/APIs -
Driving Simulator agnostic -
Multi-GPU/HPC scalability
March 2026
What's New
AVxcelerate 26R1 advances a systems-to-silicon approach with NVIDIA Omniverse digital twins, real-time Light Propagation Engine camera simulation, and visual radar tooling for precise sensor modeling. Together with native NCAP scenarios, it delivers higher perception fidelity and rigorous, safety-focused validation for ADAS and autonomous driving systems.
New Light Propagation Engine (LPE)
The Light Propagation Engine (LPE) models true light transport to deliver physically accurate, multispectral camera sensing in bright and adverse conditions. With real-time, photorealistic performance, support for 8-Mpix imagers, edge-case weather, and HiL-ready image injection, LPE enables high-confidence, hardware-in-the-loop AVxcelerate sensor validation.
Nvidia Omniverse Asset Preparation
By integrating NVIDIA Omniverse into AVxcelerate, we create a unified, state-of-the-art asset preparation pipeline that dramatically simplifies and accelerates digital twin creation. Engineers can import or generate 3D worlds, apply materials directly from the Ansys multi-spectral database through a modern UI, and prepare assets natively for AVxcelerate simulation.
Radar Antenna Placement
New tooling in the Sensors Lab streamlines the configuration of complex radar sensors by providing a visual helper that enables efficient positioning and verification of Tx and Rx antennas.
Continental Tests Real-Life Scenarios During ADAS/AD Testing and Validation
Our camera sensor technology is critical to the work we are doing in supporting autonomous function for our customers. Using Ansys AVxcelerate Sensors during ADAS/ADtesting and validation, we were able to confidently test real-life scenarios thatwere previously off-limitsto us with simulation, withcomplete confidence in theaccuracy of our results. Even though the work to develop a well-roundedsolution is still ongoing, the collaboration between. Ansys AVxcelerate Sensors and Continental camera sensor solutions is already delivering promising results.”
— Dr. Martin Punke Head of Camera Product Technology / Continental
Enrich your sensor perception test cases and coverage with accurate real-time synthetic data. Set up multi-sensors simulation in SiL or HiL context to guarantee your ADAS/AV system performance under any operating condition.
To achieve a high level of accuracy, advanced driver assistance systems/ autonomous driving (ADAS/AD) technology requires Continental to target its camera sensors for simulation. Continental engineers do real-world driving on test tracks or roads to train, test, and validate ADAS or AD systems. They also do component-level testing and simulation; however, only limited engineering simulation solutions are available to tackle this problem. Even though the effort to develop a well-rounded solution is ongoing, the collaboration between Ansys AVxcelerate Sensors and Continental camera sensor solutions delivers promising results.
Physically Accurate Simulation Solutions forSensor Testing and Validation
Ansys AVxcelerate provides physically accurate sensor simulation for autonomous system testing with sensor perception in the loop. Save on testing time and cost while increasing perception performances for camera, lidar, radar and thermal sensors.
Key Features
Benefit from powerful ray-tracing capabilities to recreate sensor behavior and easily retrieve sensor outputs through a dedicated interface.
- Driving Scenarios using the driving simulator of your choice
- Camera Sensor
- Lidar Sensor
- Radar Sensor
- HiL, SiL and MiL Connectivity
AVXCELERATE SENSOR RESOURCES & EVENTS
Featured Webinars
Ansys 2023 R2: Ansys AV Simulation (AVxcelerate) What’s New
Join us to hear about new capabilities and features in our 2023 R2 release of Ansys AV Simulation (AVxcelerate). With this release, we introduce improvements in Camera, Thermal Camera & Radar models and the simulation ecosystem to allow users to perform more accurate and much higher fidelity simulations.
On Demand Webinar
Sensor and HMI Development & System Validation
For a sustainable business model solution, an intensive trade-off between performance and safety is made in the development of AD systems. Learn how Ansys solutions address critical technical challenges in areas such as sensor and HMI development and system validation.
On Demand Webinar
Physics-Based Sensor Simulation for In-Cabin Sensing Systems Development
In-cabin sensing system requirements are increasingly becoming an essential part of governments policies and car safety rating organizations. Learn in-cabin sensing systems requirements andwatch physics-based sensor simulation for in-cabin monitoring systems development andvalidation process.
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A Comprehensive Solution for Developing Autonomous Vehicles
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Commençons
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