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Presentation topics will include:

  • Solutions for Autonomous Systems Software Prototyping
    • Autonomous Vehicles –  Transforming Vehicle Development
    • RTMaps Embedded - Facilitating the Development and Testing of Complex HAD Software on Modern ADAS Platforms 
  • Simulation Technology: A Key Enabler for Autonomous Systems
    • Simulation Technology - Bringing Real World to Virtual Test Drives
    • Sensor Simulation: Key to Autonomous Driving Development
  • Meeting the Testing Challenge
    • Cutting Edge Solutions for HIL Testing of AV Features Involving Video Injection, Radar, LIDAR, V2X Communication, etc.
    • Managing the Testing Challenge - Virtualization, Clusters and Data Management  

This event is free-of-charge, courtesy of dSPACE. Breakfast, lunch and snacks will be served. Register today to save your seat. We look forward to seeing you!

Santa Clara Convention Center
5001 Great America Pkwy, Santa Clara, CA 95054
Parking & Directions

Vivek Moudgal

Autonomous Vehicles – Transforming Vehicle Development

The mobility industry and autonomous vehicles have become synonymous. Autonomous vehicles are no longer a novelty as the industry has moved rapidly to establish proof of concept vehicles running on the road successfully. However, we still have a long road ahead to make these concepts a production reality. This transition to autonomous systems has impacted the vehicle development process significantly. This presentation explores the impacts of automation on software development, new challenges, and the influence of the dSPACE product portfolio.

RTMaps Embedded - Facilitating the Development and Testing of Complex HAD Software on Modern ADAS Platforms

Jacob Perrin

With the new RTMaps Embedded release (v4.5), RTMaps now executes on high-performance SoCs (such as NVIDIA, Renesas, NXP and soon dSPACE) to design and deploy advanced, efficient software solutions that can handle time coherency among numerous software tasks and the high bandwidth of raw data streams in real-time. As part of this presentation, attendees will learn through live demos on how RTMaps Remote Studio allows users to graphically edit applications on remote targets which make the most of SoC computation performance and features (such as NVIDIA’s DriveWorks software).

Simulation Technology - Bringing Real World to Virtual Test Drives

The definition of meaningful simulation scenarios, including road descriptions, vehicle and traffic parameterizations ˗ as well as movements, is a key factor for successful virtual validation of automated driving functions. The dSPACE simulation tool chain ASM (Automotive Simulation Models) offers a variety of tools for road and scenario definitions, based on requirements and imports from real world data.

In this presentation you will learn:

  • How to define complex road networks from scratch, based on test requirements using the ModelDesk road editor.
  • How to import real world data for road network definition from different sources, such as navigation or HAD map data.
  • How to define vehicle and traffic object movements using the ModelDesk maneuver and traffic editor.
  • How to import traffic data from real world measurement data and co-simulate with traffic flow simulations, like SUMO and Vissim.

Sensor Simulation: Key to Autonomous Driving Development

Kunal Patil

Different virtual validation use cases require different sensor models. Accuracy, simulation performance and usability play major roles. This presentation will give an overview of the different dSPACE solutions that are available for sensor simulations. Attendees will learn:

  • How to speed up simulations using ASM (Automotive Simulation Models) ground truth sensor simulations.
  • How to generate raw data streams for environment sensor simulations, such as camera, radar, and Lidar sensors, using GPU-based sensor models in MotionDesk.

Cutting Edge Solutions for HIL Testing of AV Features Involving Video Injection, Radar, LIDAR, V2X Communication, etc.

This session will explore how to enhance your AV testing capabilities and quality assurance using a completely automated HIL test environment that interfaces to or simulates ADAS/AV sensor technology, such as cameras, radar, Lidar, and other key technologies (e.g. maps and V2X communication).  The key to performing such real-time testing is the ability to stimulate the various sensors through dynamic simulation of the vehicle, its environment, traffic, surroundings, etc., along with playback of captured sensor data and its synchronization with key vehicle data.  The latest technologies are introduced, which allow for direct ECU interaction and stimulus, in addition to dynamic on-the-fly modification of sensor data streams and how these are integrated with current HIL systems.

Managing the Testing Challenge - Virtualization, Clusters and Data Management

Chandrasekhar Puliroju

With the increasing demand for building autonomous vehicle technology, there is tremendous growth in the way the data is captured and analyzed to validate as many real world test scenarios as possible. To achieve this in a short period of time, a simulation -- based on a cluster of PC’s -- is the direction to go. This presentation focuses on how cluster-based simulation can be achieved using the dSPACE VEOS virtual engine and how you can simultaneously manage data that is generated from testing using the dSPACE SYNECT test management product.

DEMO: Environment Sensor Interface (ESI)

dSPACE will present an example of running a fully closed-loop ASM traffic simulation model with sensor simulation for both front stereo and rear wide-angle cameras.  The simulated camera signals are played (injected) into the Aptina and NVIDIA Camera ECUs Behind-the-Imager.  The dSPACE Environment Sensor Interface (ESI) unit allows either captured sensor data (video) or simulated sensor data to be modified on the fly and transformed to the proper format for injection into multiple sensor ECUs (camera, LIDAR, RADAR, etc.).

The ESI unit is a very high-end FPGA system that allows programmable sensor faults and distortion change effects to be applied to the signals that are played through the ESI.  This includes available Lens profiles (such as Adobe) and effects such as:

  • Pincushion distortion
  • Barrel distortion
  • Vignetting
  • Chromatic aberration

DEMO: Data Acquisition and Sensor Fusion for Highly Automated Driving

dSPACE will demonstrate how you can perform HAD data acquisition and sensor fusion tasks using Intempora RTMaps software and a dSPACE MicroAutoBox real-time prototyping unit. This demo will show how the speed of an electric motor adjusts as it detects passersby and stop signs using an algorithm based on TensorFlow™ deep learning.

DEMO: Faster Function Development for Automated Driving

The newly released RTMaps Embedded 4.5.0 software solution for real-time multisensor applications will be showcased running on an NVIDIA PX2 platform. In this demo, diagrams are modified on a PC to perform NVIDIA DriveWorks utilizing model-based-design heuristics. The diagram is then deployed and executed on the remote NVIDIA PX2 device running RTMaps runtime. With RTMaps Embedded 4.5.0, you can dramatically reduce your development cycles and to stay one step ahead.

DEMO: Simulating Traffic Situations for Autonomous Vehicles

dSPACE ASM Traffic aids in the development of autonomous driving functions by giving engineers a simulated environment to study and test autonomous vehicles in a multitude of different traffic scenarios. By creating a virtual traffic situation, such as a vehicle overtaking and changing lanes, you can visually test how the autonomous vehicle will react. This demo includes adaptive cruise control (ACC), autonomous emergency brake (AEB), blind spot detection, traffic sign recognition and lane departure warning features.

AbsInt Tech Day - Safety-Critical Software

In parallel to the dSPACE Tech Day, AbsInt (a dSPACE partner) will hold in-depth presentations on its tools for the development, analysis and certification of safety-critical software. Topics will include:

  • Static Analysis as a Verification Method for Safe Autonomous Driving
  • Modeling of Safety-Critical Applications using dSPACE TargetLink
  • Proving the Absence of Runtime Errors and Data Races *** hands-on session ***
  • Verifying Real-Time and Stack Properties *** hands-on session ***

This event will also be held on Thursday, March 15, at the Santa Clara Convention Center in Santa Clara, CA, from 9 a.m. to 3:30 p.m.

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