Wixom,  MI 
United States
  • Booth: 1625

We are putting the idea of autonomous driving on the road!

dSPACE provides a complete solution for data-driven deveopment, based on open standards, physics-based sensor simulation, AI-based scenario generation, scenario-based testing, and cloud/SaaS technologies. Our solutions includes:

  • Robust, in-vehicle data logging system record sensor raw data and vehicle bus data

  • Data enrichment: automated data anonymization and data annotation (ground truth)

  • Automated generation of simulation scenarios from sensor raw data or object lists

  • Highly realistic, physics-based simulation of camera, lidar, and radar sensors

  • Data replay: time-synchronous replay of sensor raw data and vehicle bus data

  • End-to-end solution for SIL, HIL, and large scale simulation in the cloud

  • Release testing: planning the validation and verification strategy according to ISO 26262 and ISO/PAS 21448 (SOTIF)

Brands: dSPACE offers solutions for robust data logging, powerful data enrichment, a realistic scenario-based testing and a fully scalable MIL/SIL/HIL and Cloud execution platform.

 Press Releases

  • Detroit / Austin, April 16, 2020. As radar systems are a key technology for automated and autonomous driving, Uhnder and dSPACE have agreed to cooperate to ensure that the developments in radar sensor technology can keep pace with the high safety requirements in traffic. Both companies will support each other in the continuous development of sensors and validation solutions.

    Digital Methods for More Reliable Detection

    To meet high requirements for safety and quality, radar sensors must detect their surroundings reliably and in great detail. For road use, it is important to implement robust measures that minimize interference and disturbance signals. To do this, Uhnder has developed a unique digital Radar-on-Chip (RoC), using a combination of advanced CMOS and Digital Code Modulation (DCM) technology. Uhnder's 4D, digitally-modulated radar chip offers groundbreaking performance by integrating 192 virtual channels onto a single chip and pioneers High Contrast Resolution (HCR), which provides significantly improved range and angular resolution and makes it possible to separate small radar reflectors from proximate large reflectors.

    Throughout the development process, Uhnder relies on dSPACE Automotive Radar Target Simulators to subject sensors, whose signals are processed using this modulation method, to the most realistic tests possible until the sensors are approved for series production.

    “Digitally modulated radar signals offer significant advantages in ADAS and AD applications. The radar test solutions from dSPACE made it easy for us to investigate interferences between radar systems and to advance our systems as realistically as possible,” says Ralf Reuter, Senior Director of Customer and Application Engineering at Uhnder, about the initial results of the collaboration.

    Senior Product Manager Dr. Andreas Himmler from dSPACE adds: “The cooperation with Uhnder provides us with new requirements in sensor development directly and timely. This gives us a head start in the development of suitable concepts for particularly reliable validation. This applies particularly to the fulfillment of our customers' challenging requirements with regard to radar target simulation.”

    Showcases at Trade Fairs

    Uhnder and dSPACE will present results of their partnership with demos at trade fairs. The first joint showcases will be take place at the “International Conference on Microwave Intelligent Mobility 2020” in Linz (July 2020, exact date not fixed yet) and at the “European Microwave Week 2020” in Utrecht (September 13-18, 2020).

    Uhnder and dSPACE will support each other in the continuous development of sensors and validation solutions and cooperate to ensure that developments in radar sensor technology can keep pace with high safety requirements in traffic.


  • dSPACE Environment Sensor Interface Unit
    The dSPACE Environment Sensor Interface Unit is a high-performance FPGA that supports the time-correlated feeding of raw sensor data to one or more sensor ECUs for the development and validation of environment sensors (i.e. radar, camera, lidar)....

  • 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.  

    Application Areas

    For the development and validation of environment sensors, e.g., radar, camera and lidar, and more generally the validation of ADAS/AD functions, support for a range of ECU interfaces for data insertion is essential. In addition to testing based on over-the-air methods and object lists, the insertion of raw data or target lists is of utmost importance for the validation of perception and fusion algorithms that are based on raw data. The Environment Sensor Interface (ESI) Unit supports all relevant sensor interfaces and is eminent for closed-loop and open-loop testing. Advanced sensor simulation in combination with the ESI Unit makes it easy to provide synthetic sensor data under realistic conditions and with low latencies. This is useful for validating functions for autonomous driving in hardware-in-the-loop (HIL) simulation, in both closed- and open-loop scenarios. If RTMaps is used as well, recorded sensor data can be replayed conveniently.

    Key Benefits

    The Environment Sensor Interface Unit supports the injection of raw data and target lists for HIL tests of camera, radar, and lidar ECUs as well as central processing units for autonomous driving. Thanks to its flexible and scalable architecture, the ESI Unit supports, for example, lidar point cloud data injection via 10 Gigabit Ethernet, radar raw data injection via MIPI CSI-2, and camera raw data injection via TI FPD-Link III or Maxim GMSL. To meet the requirements of next-generation ECUs, the ESI Unit can be configured to simulate the latest sensors. A single ESI Unit simulates up to twelve sensors synchronously and supports more than 50 Gbit/s of aggregated bandwidth. Multiple combined ESI Units let you test functions for autonomous driving with dozens of different sensors. Special customer requirements and functions can be implemented directly on the ESI Unit thanks to the powerful Xilinx® UltraScale+™ FPGA.

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