Our exhibition floor is fully packed with the latest state-of-the-art innovations from the fields of autonomous driving and e-mobility. Join us in Munich and discover our high-end solutions to empower your future mobility development projects.
To help you put the idea of autonomous driving on the road, 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 is the source for AD development and validation – Brand new product line for in-vehicle recording and processing of sensor data as an enabler for data-driven development. It gives you unique performance in terms of bandwidth, support of bus and sensor interfaces, and synchronization.
From recorded data to ground truth information – Together, 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.
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 data from the outside world using the proven SCALEXIO technology.
Bringing realism into 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.
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.
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.
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.
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.
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.
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.
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 validation of camera sensors.
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.
Testing real sensors with simulated radar echoes – Over-the-air stimulation of radar sensors with up to 4 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.
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.
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.
Expanding bandwidth and I/O capabilities for more control – Simplifying electric drive control with model-based algorithms by dedicated, high-performance prototyping solutions. Improve your handling of complex installations by easy access to electric motor control I/O functions.
From graphical development to high-performance production code – Production code generation directly from MATLAB®/Simulink®/ Stateflow® accelerates the development of modern electric drive applications.
Latest FPGA technology for highest dynamics and precision – Simulation environment for a separately excited six-phase machine, supporting future mobility concepts which require perfectly tailored electric drives. Benefit from ready-to-use nonlinear multiphase motor models that support testing at the signal and power levels.
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.
Developing and testing intelligent charging technologies – Simulating different AC and DC charging stations according to national and international charging standards to ensure a reliable charging process, including vehicle-to-grid (V2G) communication and power transfer.
Shaping the future of battery technology – Modular, scalable systems with high-precision battery cell emulation for testing and validating battery management systems.
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.
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.
BTC Embedded Systems provides intelligent and automated test solutions for embedded software. Within a highly-integrated platform concept, standard use cases like Requirements-based Testing or Back-to-Back Testing are combined with innovative and powerful technologies like model checking, automatic test generation and formal methods. Certified by TÜV Süd for IEC 61508, ISO 26262 and related standards, BTC tools are in particular suitable for the development of safety critical applications. Founded in 1999, BTC Embedded Systems AG is currently present with more than 150 employees in Oldenburg, Berlin, Tokyo, Shanghai, Detroit, Paris, and Timisoara.
Founded in 2006 in Berlin (Germany), software company Model Engineering Solutions GmbH (MES) offers solutions for integrated quality assurance of software projects. MES supports its customers in developing model-based software in compliance with industry standards such as IEC 61508, ISO 25119, and ASPICE. The MES Tool Chain comprises four complementary tools for all phases of the model-based software development process: the MES Quality Tools. MES’ clients in the automotive industry include 16 of the 20 largest OEMs worldwide and their suppliers. MES is a dSPACE Strategic Partner and a MathWorks Product Partner.
MathWorks is the world’s leading software vendor for Technical Computing and Model-Based Design. MATLAB and Simulink enable automotive engineers to model and simulate their systems early in the design cycle and then validate functional concepts in the vehicle with rapid prototyping, run real-time plant simulations with HiL systems, and generate production C code. Developers use MATLAB and Simulink for complex vehicle functions such as engine control, chassis and body electronics as well as advanced driver assistance and infotainment applications.
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