Autonomous Driving

Data-Driven Development and Validation

To help you make the idea of autonomous driving a reality, dSPACE offers comprehensive solutions and services for the data-driven development and validation. This ensures seamless, efficient data processing at all development stages, from data logging to release or sign-off tests.

Data Logging & Prototyping

Data is the source for AD development and validation – Brand new product line for in-vehicle data logging and processing of sensor data that enables data-driven development. Our solution gives you unique performance in terms of bandwidth, support of bus and sensor interfaces, and synchronization.

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Data Annotation

From recorded data to ground truth information – dSPACE and understand.ai provide a unique and integrated tool chain for automated and high-quality sensor data annotation (camera, lidar, radar) to train and validate neural networks, generate simulation scenarios, and develop functions for autonomous driving.

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Data Replay

Reprocessing of real-world data to validate perception and sensor fusion algorithms – Synchronous replay of recorded raw sensor and bus data to validate new software releases and support algorithm validation in the lab with realistic external data using the proven dSPACE real-time technology.

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Scenario Generation

Bringing realism to your simulation – understand.AI and dSPACE provide an AI-based solution for generating complex simulation scenarios from measurement data to ensure a realistic traffic and environment simulation and sufficient test coverage, including critical scenarios from real test drives.

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Simulation Models

End-to-end simulation ecosystem – Vehicle and traffic simulation featuring ground truth sensors, intelligent driver models, the integration of road networks and environments from HD maps, consistent support of standards, and open interfaces for execution in real time or faster than real time.

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SIL Testing

Software-in-the loop (SIL) testing on the PC- and in the cloud – simulate and test your software functions or complete V-ECU networks without the “limits of real time” (i.e., faster than real time and/or highly parallel). From classic automotive applications, such as powertrain or brake systems, to e-drive applications and functions for autonomous driving: you can significantly accelerate your software development process by testing and validating virtually.

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Cloud Simulation

Lights out and test - Simulating millions of test kilometers over night – Execute the end-to-end simulation tool chain as software-as-a-service. Test and validate all test kilometers with automatically generated scenarios using scalable, virtual test environments with scenario-based test solutions in the cloud.

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Sensor Fusion Test

Connecting simulation and the real world – Validating perception and sensor fusion algorithms by means of physics-based sensor models, real-time simulation, and synchronous sensor raw data injection into high-performance processing units.

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Radar Test Closed-Loop

Validate radar sensors at the physical level – Closed-loop-testing of radar sensors based on coherent echoes that let you reliably determine the distance, velocity, radar cross section (RCS), and angle of the radar objects.

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Sensor-Realistic Simulation

From photo-realism- to ray-tracing-based sensor models – Virtual reproduction of the entire sensor transmission channel, including propagation aspects such as ray tracing to simulate environments as perceived by camera, radar, and lidar sensors.

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Lidar Test

High-fidelity lidar simulation and data injection – Testing lidar sensors with injected raw data that is synthetically generated by sensor-realistic simulation, including point-cloud processing. Expand testing capabilities by including real sensors in closed-loop simulations.

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AI Imaging

Generating real-world environments – Using AI with existing ground truth simulation scenarios with simple 3-D outlines to automatically generate photorealistic images of the traffic environment. The technology demonstrator will simplify testing and validating camera sensors.

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Connected Vehicle

Testing LTE and 5G applications in a virtual environment – Integration of sensor data via LTE and 5G networks in open- and closed-loop test setups to provide an end-to-end solution for applications, such as sensor sharing. The solution helps consider the entire chain of effects when validating connected and cooperative autonomous vehicles.

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Radar Black-box Testing

Testing real sensors with simulated radar echoes – Over-the-air stimulation of radar sensors with up to four echoes in a very precise but particularly easy-to-use manner that is suitable for test areas such as end-of-line, homologation, and aftermarket.

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E-Mobility

Complete Solutions for Development & Test – Scalable Systems for All Stages

Whether you are working on electric motors, power electronics, batteries, electrical networks, or intelligent charging systems, dSPACE offers a complete portfolio based on decades of experience for all your electromobility projects. Rely on an innovative, scalable tool chain and get everything from a single source with dSPACE – your partner for developing and testing electromobility applications.

Highest Performance Motor Control

Fast computation in the range of nanoseconds – Experience the next generation of compact in-vehicle prototyping with the latest FPGA technology enabling high-performance electric drive control with partly FPGA-based algorithms.

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Quick Control Prototyping

Expanding bandwidth and I/O capabilities for more control – Electric drive control development with model-based algorithms by means of dedicated, high-performance prototyping solutions. Easy access to electric motor control functions simplifies the handling of complex installations.

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Controller Autocoding

From graphical development to high-performance production code – Production code generation directly from MATLAB®/Simulink®/ Stateflow® accelerates the development of modern electric drive applications.

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Advanced Motor Simulation

Latest FPGA technology for highest dynamics and precision – Simulation environment for a separately excited six-phase machine, supporting future mobility concepts that require perfectly tailored electric drives. Benefit from ready-to-use nonlinear multiphase motor models that support testing at the signal and power levels.

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Power Electronics Simulation

Simulation of power electronics circuits developed with Simscape Electrical™ – Real-time power electronics simulation enables the HIL simulation and tests of control units for various circuit topologies and applications, such as chargers, grid feed-in, and smart grids.

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Smart Charging Solution

Developing and testing intelligent charging technologies – Simulating different AC and DC charging stations and electric vehicle behavior according to national and international charging standards to ensure a reliable charging process, including vehicle-to-grid (V2G) communication and power transfer.

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Battery Management Testing

Shaping the future of battery technology – Modular, scalable systems with high-precision battery cell emulation for testing and validating battery management systems.

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High-Voltage Inverter Testing

High power HIL with maximum efficiency in a turn-key system – Modular and highly integrated high-voltage power hardware-in-the-loop system for testing and validating traction inverters, DC/DC converters, and onboard chargers.

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Mechatronic Test Bench

Integrating real components into a HIL simulation – Benefit from mechatronic test benches that let you use real components in hardware-in-the-loop simulation and integrate ECUs that cannot be accessed by means of their electrical interfaces.

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