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Keynote Presentations

Andre Rolfsmeier
Lead Product Manager
Advanced Applications & Technologies

Advances in dSPACE Technology: An Overview and Strategic Roadmap

The market introduction of level 3, 4 and 5 autonomous vehicles is on the horizon. A crucial element of these systems is the reliable perception of the vehicle environment by means of camera, radar and lidar sensors and the further processing of the associated data. The development and validation of sensor ECUs and complex software functions for autonomous driving poses enormous challenges for the automotive industry. Competent partners are required for this.

dSPACE is the leading tool supplier for in-vehicle prototyping, virtual test drives and sensor-in-the-loop test benches and strategically invests in an end-to-end tool-chain for multi-sensor applications. This presentation will discuss current trends, innovative development and testing approaches and gives an outlook on future solutions from dSPACE.

Mastering Time Coherency and Execution Performance in your AD Software

Nicolas Du Lac

As embedded software in intelligent vehicles becomes more and more complex, because the number of ECUs and parallel software tasks has increased tremendously, it becomes critical to set up mechanisms that can handle time coherency among these software tasks and data streams.

In this presentation, we will address some of the software design concepts in the RTMaps framework that allow time coherency to be mastered in multi-thread and distributed architectures, while achieving unprecedented execution performance in applications for autonomous driving, from the early stages of applications prototyping down to the execution on the most recent ECU architectures.

Sheraton Detroit Novi Hotel
21111 Haggerty Rd, Novi, MI 48375

The dSPACE Autonomous Vehicle Technology Day will be held from 8:45 a.m. to 3:30 p.m., with breakfast and registration taking place from 8-8:45 a.m. Breakfast, lunch and snacks will be served. We hope you will join us!

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.

P3 North America will have a specially-equipped Ford Edge on display. This vehicle features a data logging PC with RTMaps software and a set of sensors (LiDARs, Ultrasonic, forward looking camera, forward looking radar).