Lab-based Homologation of SAE Level 3 Vehicles

Efficient homologation of autonomous vehicles of SAE Level 3 and upwards requires testing and validation of software and hardware systems in the lab. This results in new challenges and requirements compared to traditional testing, such as simulation of validated sensor raw data with highest timing accuracy.

Sense

Autonomous vehicles need reliable and detailed 360° environmental information in all weather and traffic conditions. Find out how our solutions help you to develop and test perception and fusion systems based on, for example, camera, radar, and lidar sensors: from ground truth extraction, raw data rendering, sensor simulation, to over-the-air sensor testing.

Plan

Using the fused sensor data, autonomous vehicles permanently calculate an environment model in real time and decide on the best driving strategy to cope with the current traffic situation and reach the desired destination. This task is performed by complex path planning algorithms running on high-performance computers. See how the dSPACE portfolio can support you and help save development costs and time.

Act

In addition to the path planner, the high-performance computer calculates the actuator values with which the vehicle's drive, braking, and steering systems implement the predicted driving maneuvers. The processing steps involved are highly safety-critical and place additional demands on the development and validation solutions used. Find out how dSPACE can support you in these tasks.

What do you need for lab-based homologation from SAE Level 3 via hardware-in-the-loop?

To overcome these challenges, a comprehensive end-to-end test architecture for the verification and validation of Level 3 functions in a controlled lab environment is needed. This includes the simulation of dozens of sensors simultaneously in real time and highly synchronized.

Performance: Generation of realistic sensor data, i.e., in the same way as it would be generated in reality on the road.
Synchronicity and low latency: Realistic sensor data must be fed into the autonomous driving function control units in a time-correlated manner.
(Rest-) Bus Simulation: To satisfy the full AV stack, additional (rest)- bus data, such as steering angle and wheel speeds, is needed.
Vehicle-to-X: Receive messages from other vehicles and the infrastructure.
GPS/GNSS: Run-time GPS emulation for map-based localization.

Hear our experts speak at ADAS & Autonomous Vehicle Technology Expo

Our solutions for your SAE level 3 homologation process:

dSPACE offers comprehensive solutions for the virtual homologation of automated vehicles: from physics-based sensor simulation, over real-time scenario simulation, to synchronous raw data insertion and closed-loop restbus emulation in Hardware-in-the-Loop (HIL) systems.

AURELION - Sensor-Realistic Simulation for ADAS/AD in Real Time

AURELION is a flexible software solution for sensor simulation and visualization. It enables you to integrate realistic sensor data into your processes for developing, testing, and validation of perception and driving functions. The same models can be used throughout various phases of development, for example in hardware-in-the-loop (HIL), software-in-the-loop (SIL), and vehicle-in-the-loop (VIL).

ASM Traffic - Real-time environment simulation with traffic and objects

ASM Traffic is the model for simulating vehicles, traffic participants, traffic objects, and vehicle sensors. It allows to efficiently develop and validate driver assistance systems in virtual environments.

Environment Sensor Interface (ESI) Unit - Feeding digital data into camera, radar and lidar ECUs

Systems for autonomous driving use multiple environment sensors. To simulate the sensors in a HIL setup for sensor fusion and function testing, it is essential to accurately synchronize the stimulation of the individual sensors. The dSPACE Environment Sensor Interface Unit supports the time-correlated feeding of raw sensor data to one or more sensor ECUs.

SCALEXIO - Modular real-time system

The modular dSPACE SCALEXIO system can be used for hardware-in-the-loop (HIL) and rapid control prototyping (RCP) applications. It is highly scalable, provides high-performance processor technology for demanding real-time requirements as well as comprehensive, precise, and fast I/O capabilities.

SIMPHERA - The cloud-based, highly scalable solution for the simulation and validation of functions for autonomous driving

SIMPHERA is a software solution for simulating and validating functions for autonomous driving. It enables large-scale test execution in the cloud for software-in-the-loop (SIL) use cases, as well as a continuous workflow for hardware-in-the-loop testing.

Let's discuss your use case!

Contact