The dSPACE Hardware-in-the-Loop (HIL) test system based on dSPACE’s SCALEXIO technology is a modular and powerful platform for testing autonomous driving HPCs in closed-loop and open-loop simulation. Closed-loop simulation is based on comprehensive models for vehicles, traffic, environment as well as different sensor models, such as camera, radar, lidar, and ultrasonic. Restbus models and interfaces for Automotive Ethernet, CAN, LIN, and FlexRay cover the communication part of the HPC. Failure modes and manipulation options allow for failsafe and security testing. All simulation components run time synchronized in real-time.
Using the SCALEXIO platform for open-loop simulation allows to replay sensor and bus/network data captured during real test drives. Sensor fusion and perception algorithms can thus be tested with recorded real-world data.
dSPACE tools and solutions for testing autonomous driving HPCs are embedded in an overall validation architecture that allows a maximum re-use of models and software tools between hardware-in-the-loop testing and software-in-the-loop testing as well as cloud-based simulation.
The dSPACE HIL for Autonomous Driving solution offers sensor-realistic simulation for all sensor types, from camera and radar to lidar and ultrasonic sensors. While the sensor models are physics-based, which means that they simulate the real physical effects such as reflective surfaces, the generated sensor raw data is very accurate with respect to simulated camera images or data or lidar point clouds. These sensor models are executed using GPU and FPGA technology, making it possible to run tests even under different weather conditions, such as fog, rain, and snowfall.
Development of ADAS/AD systems is a multi-stage, iterative process. dSPACE HIL for Autonomous Driving is therefore part of an overall test strategy provided and supported by dSPACE. This test strategy is based on state-of-the-art test methods and provides an answer to the overall “Safety-first”-challenge for automated driving.
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