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dSPACE invites you to take part in a 1-day technical symposium focused on autonomous technology for the commercial and off-highway vehicle industries on Wednesday, Oct. 9, 2019, in Naperville, IL. This event is free-of-charge, but registration is required.

Semi- and fully-autonomous vehicles are a pivotal technology trend for commercial vehicles, as well as for agriculture, mining, and construction equipment. dSPACE technical experts will offer solutions for challenges related to autonomous systems technology. Topics will include:

  • Designing, Executing and Testing Autonomous System Algorithms
  • Developing Safety-Critical Systems
  • Simulating the Real World for System Validation in the Lab
  • Sensor Realistic Simulation - Bringing the Environment for Testing
  • Infusing Reality in ECU Software Validation - Environment Sensor Interface for Hardware-in-the-Loop Validation
  • DARTS - New Testing Solutions for Radar Sensors

This event will be held at the NIU Naperville Conference Center in Naperville, IL. Driving directions.

Registration

Autonomous Driving Systems: Challenges Continue to Emerge, So Do Solutions - Overview of New Solutions from dSPACE

This presentation will highlight updates to the dSPACE platform for developing and testing software functions for autonomous driving.

Developing Safety-Critical Systems, Standards and Processes

For the validation of functional safety for automotive control systems and their embedded software, proper workflows and virtual test methods are necessary. The need for virtual testing and efficient collaboration in the automotive domain is increasing evermore because of new challenges coming from the development of advanced driver assistance systems (ADAS) and autonomous driving (AD).  At the same time, the requirements for a reliable process of virtual testing are increasing as ADAS/AD systems are becoming more safety critical. This presentation outlines necessary development and test strategies that are compliant to ISO 26262 and ISO/PAS 21448 to ensure the proper functionality and safety goals of ADAS/AD systems.  It also delves into process details of Scenario-based Testing (ScBT) and how this can be managed with an open and scalable process to achieve needed functional safety goals.

Cross-Platform Development: Designing, Executing and Testing Algorithms

A variety of computational platforms are being used to develop and test ADAS and autonomous driving system perception applications using some combination of sensors, such as cameras, radars, lidars, etc. RTMaps® from Intempora proposes a component-based, graphical environment to design and execute diagrams for managing massive amounts of data with little to no overhead. Thus, with RTMaps, instead of using your available computational power to run the middleware, you can run and test your algorithms and record your sensor data in a way that will maximize performance on any of today’s in-vehicle (NVIDIA DRIVE, NXP BlueBox, dSPACE SPU, etc.) or desktop (laptop, HIL system, cloud, etc.) devices.

Keeping It Real - Simulating the Real World for Autonomous Driving System Validation

The definition of meaningful simulation scenarios includes road and environment descriptions and vehicle and traffic parameterizations, as well as their movements. These are the key factors for successful virtual validation of highly automated driving functions. The dSPACE simulation tool chain ASM (Automotive Simulation Models) offers a variety of possibilities for road and scenario definitions, based on requirements, real world data and standards like OpenDrive®, OpenScenario® and OSI®. During this presentation, the newly integrated test functionality of ModelDesk will be introduced as an easy-to-use validation tool.

Sensor Realistic Simulation - Bringing the Environment for Testing

A detailed and comprehensive simulation of the real world is the challenge for the successful validation of autonomous driving system software. In addition to simulation models of the automated vehicle, traffic participants, etc., a wide range of sensor models are also utilized. The types of sensor models extend from technology-independent variants, which generate object lists directly from the information provided by the environmental model, to phenomenological or physical models that reproduce the exact sensor behavior and raw data streams from interaction with the simulated environment. Such physical sensor models, which are computationally intensive, are typically calculated on high-performance GPU(s) and feed raw data to the connected real sensors, such as camera or radar, for realistic testing in the lab. Achieving close-to-reality sensor models is crucial. This presentation will feature a proposed highly realistic sensor simulation environment and a live demonstration.

Infusing Reality in ECU Validation: Environment Sensor Interface for HIL Validation

To see the surrounding environment, autonomous vehicles are equipped with multiple environment sensors (i.e. camera, LiDAR, Radar, etc.). The data from these sensors has to be processed to validate functions. This presentation spotlights the dSPACE Environment Sensor Interface (ESI) unit and will show how this tool can assist with the simulation of sensors in a HIL setup for sensor fusion and function testing. The ESI unit is able to accurately synchronize the stimulation of individual sensors and supports time-correlated feeding of raw sensor data to one or more sensor ECUs.

DARTS – dSPACE Automotive Radar Test Systems: New Testing Solutions for Radar Sensors

Radar sensors play an important role when it comes to integrating intelligent solutions for assisted and autonomous driving in vehicles. dSPACE Automotive Radar Test Systems (DARTS) can efficiently ensure the correct functioning of sensors and developed application software in different phases of the development, production and release process for sensors and vehicles as well as for aftermarket use. During this presentation, dSPACE will present its new product family for testing radar sensors in vehicles.

Start Time End Time Topic
8:00 AM 8:45 AM

Registration & Breakfast

8:45 AM 9:00 AM

Introduction and Welcome

  • Dr. Peter Waeltermann, President, dSPACE Inc.
9:00 AM 9:45 AM

Autonomous Driving Systems: Challenges Continue to Emerge, So Do Solutions Overview of New Solutions from dSPACE

  • Vivek Moudgal, Vice President – Sales, dSPACE Inc.

9:45 AM

10:30 AM

Developing Safety-Critical Systems, Standards and Processes

  • Jace Allen, Business Development Manager, dSPACE Inc.
10:30 AM 11:00 AM

Coffee Break

11:00 AM 11:45 AM

Cross-Platform Development: Designing, Executing and Testing Algorithms

  • Jacob Perrin, Applications Engineer, dSPACE Inc.
11:45 AM 1:00 PM

Lunch and Demos

1:00 PM

1:45 PM

Keeping It Real - Simulating the Real World for Autonomous Driving System Validation

  • Srinivas Polavarapu, Sr. Application Engineer, dSPACE Inc.
1:45 PM

2:30 PM

Sensor Realistic Simulation - Bringing the Environment for Testing

  • Holger Krumm, Product Manager – MotionDesk, dSPACE GmbH

2:30 PM

3:00 PM

Coffee Break

3:00 PM

3:45 PM

Infusing Reality in ECU Validation - Environment Sensor Interface for HIL Validation

  •  Ben Hager, Project Manager, dSPACE Inc.
3:45 PM

4:30 PM

DARTS – dSPACE Automotive Radar Test Systems: New Testing Solutions for Radar Sensors

  •  Matt Rasmussen, Sr. Application Engineer, dSPACE Inc.

4:30 PM

4:45 PM

Closing Remarks

  • Chad Harnish, Sr. Account Manager, dSPACE Inc.