| Demo | Description |
| Data-Driven Development | Experience how AUTERA and IVS empower engineers to be smarter with their data, combining high performance edge. Through advanced compression and AI driven selection, this demo shows how engineering teams can reduce data footprints while maintaining the fidelity and integrity their workflows rely on. |
| ADAS SIL Testing | Experience a closed‑loop ADAS SIL workflow that combines ASM vehicle dynamics, physics-based sensor simulation in AURELION, and sensor fusion in RTMaps. This demo shows how to seamlessly validate and refine ADAS algorithms in a virtual environment, reducing risk and accelerating development. |
| Agriculture Simulation | Agricultural machines must be tested and validated so that they can be used safely in the field. Conducting thousands of complex and repetitive tests in the real environment is time-consuming and expensive. dSPACE provides configurable and scalable tools to simulate and test agriculture machinery technology and accelerate development timelines. |
| Copilot Agent for V-ECU Generation | Now automotive OEMs and Tier‑1 suppliers can create and update V-ECUs faster, with reduced manual effort. dSPACE is creating a GitHub Copilot Extension Agent that developers can directly use in the development environment to generate V-ECUs. This cutting-edge solution speeds up the process of integrating ECU code into CI/CD pipelines, thereby enhancing the efficiency and scalability of SIL (software-in-the-loop) validation. The solution accelerates development pipelines for SOTA (over-the-air software updates) and digital homologation of SDVs. |
| Infotainment Testing in the Cloud | Automated HMI Testing on the cloud accelerates the validation of complex Digital Cockpit Systems at scale. Test the intricate interactions between advanced vehicle operating systems (e.g., QNX Cabin), real HPC hardware or simulation environments such as AWS Graviton, and diverse sensor inputs - visual, acoustic, and autonomy. The solution is tuned for automotive use cases and it can be used for agricultural and off-highway applications as well. The tests can span both SIL (Software-in-the-Loop) and HIL (Hardware-in-the-Loop) environments. The package supports modular design and wide range of HMI Testing interfaces, reducing manual effort, increasing test coverage, and accelerating the validation cycles for OEM’s. |
| ADAS/AD Testing | Continuous testing is a key element for validating ADAS and functions for autonomous driving to address the growing software and hardware complexity, ensure the highest safety standards, meet regulatory requirements, and shorten development cycles through digital homologation. The dSPACE ADAS HIL (hardware-in-the-loop) solution enables this by covering areas beyond SIL testing, such as validating the entire software stack on target hardware in real time, ensuring performance under realistic data loads, evaluating timing behavior, and testing the robustness and reliability of multimodal sensor setups and sensor fusion in challenging edge cases. This demo highlights how closed-loop camera control can be efficiently tested in a lab environment. |
| Cell Controller Virtualization | The CCV simulates CSCs and their communication with the BMS and test even before cell controller prototypes are available. |
| Charging Communication Testing | The dSPACE Smart Charging Solution is a set of tools to simulate and validate software and hardware for smart charging components. It can be configured to test automotive onboard chargers, charging stations, energy management ECUs, Megawatt Charging Systems (MCS) for commercial vehicles, agriculture, aviation, and shipping. This demo showcases an efficient approach to testing charging communication for electric vehicles, seamlessly transitioning from software-in-the-loop (SIL) to hardware-in-the-loop (HIL) by reusing test cases and artifacts. The Smart Charging Solution provides NACS, ISO15118 and DIN 70121 according Charging Communication and simulation of protocol and hardware related failures to check interoperability of the electric vehicle charging controller. |
| Hardware-in-the-Loop Testing | SCALEXIO Essential is a ready-to-use hardware-in-the-loop (HIL) system for testing and validating edge ECUs in automotive and beyond, including Agriculture and off-highway machines. It offers wide voltage ranges, integrated resistance simulation, current measurement, and relay control. With extensive bus, network, analog, and digital interfaces, it also allows seamless integration into the dSPACE toolchain. It is available as hardware-only or with a complete software package for quick setup. |
| Efficient HIL Testing at Scale | Discover how XIL Farm Management can improve the reliability and efficiency of testing operations. This demo showcases how enhanced visibility into testbenches and infrastructure reduces downtime and increases resource utilization. |
| Cybersecurity Testing |
Customers in the automotive, agriculture, health, and manufacturing sectors will benefit from high-performance, end-to-end, and automated Cybersecurity Testing workflows throughout the entire development process. HydraVision from dSPACE company dissecto is a cutting edge, scalable cybersecurity test framework for embedded systems suitable for these industries. With an exploratory approach and extendable test case templates, HydraVision enables the efficient integration of cybersecurity tests into the development process. This allows potential vulnerabilities to be identified, assessed, and mitigated at an early stage. In doing so, dSPACE supports OEMs and suppliers in sustainably meeting the increasing security requirements in various industries. This demo showcases the complete workflow including hardware setup, test authoring, test execution, and report generation using an automotive ECU as an example. HydraVision is now set to be integrated into the dSPACE simulation and validation toolchains for a seamless user experience for dSPACE customers. |
| Flight Simulator | Demonstrating how avionics communication integrates with the actuation of flight control surfaces. The aircraft model is operated using dSPACE real-time software and includes motor-driven actuation of the elevator surfaces, illustrating a key component of the control’s development process. |
| Neural Networks on Embedded Devices | This demo will show you how to integrate C code for a neural network into a TargetLink model to make it available for the model-based development process. This approach makes it possible to use standardized interfaces and proven processes for safety-critical systems in the context of AI algorithms. --Bringing Neural Networks on embedded devices --Safety compliant integration according to ISO 26262 --Integrate AI components into established workflows --For model-based and code-based workflows |