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Agenda (April 19, 2018)

Time Topic

8 – 8:45 a.m.

Registration & Breakfast

8:45 – 9 a.m.

Introduction & Welcome
Dr. Peter Waeltermann, President, dSPACE Inc.

9 – 9:45 a.m.

Keynote Address: Advances in dSPACE Technology: An Overview and Strategic Roadmap
Andre Rolfsmeier, Lead Product Manager, Advanced Applications & Technologies, dSPACE GmbH

9:45 – 10:30 a.m.

Keynote Address: Mastering Time Coherency and Execution Performance in your AD Software
Nicolas Du Lac, CEO, INTEMPORA

10:30 - 11 a.m.



Sessions TRACK 1
In-Vehicle Development of Autonomous Systems
Modeling and Simulation for Autonomous Vehicle Software Testing
Validation and Verification of Autonomous Systems
11 a.m. – 12 p.m.

Developing Perception Algorithms on Embedded SoCs of Tomorrow

The newest version of RTMaps (4.5) introduces the capability to develop applications on your PC and deploy them onto the in-vehicle platforms of tomorrow (NVIDIA PX2 Renesas H3, NXP BlueBox, etc.) This presentation will present the features of this new software and how it can provide the ability to rapidly develop perception and data fusion algorithms.

Simulation Technology - Bringing Real World to Virtual Test Drives

Learn details about how to use the dSPACE ASM tool chain to define test drive scenarios and import real map and traffic data into your test setup.

Autonomous Safety: Validation Tool Chain and Achieving Functional Safety and ISO 26262 Certification

Achieving functional safety is critical for autonomous vehicle systems. There are many challenges for the V&V toolchain that need to be addressed in order to get to ISO26262 certification. This presentation will address the challenges of functional safety and approaches to achieving system validation for complex AV systems.

1-2 p.m.

Open-Loop HIL Testing Using Real-World Data

RTMaps is increasingly being used to synchronously capture ADAS multi-sensor data to assist in the development of autonomous perception software. This presentation will showcase how RTMaps can be leveraged in late-stage testing and development as an open-loop, real-world, data replay mechanism, including the use-case of a dSPACE ESI (environment sensor interface) unit.

Sensor Simulation: Key to Autonomous Driving Development

This presentation will give an overview of the different dSPACE solutions that are available for sensor simulations. Highlights will include: How to speed up simulations using ASM (Automotive Simulation Models) ground truth sensor simulations and how to generate raw data streams for environment sensor simulations, such as camera, radar, and Lidar sensors, using GPU-based sensor models in MotionDesk.

Managing the Testing Challenge - Virtualization, Clusters and Data Management 

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.

2:30-3:30 p.m.

Use Case: Scalable ADAS V&V Platform Using dSPACE Tools

P3 North America will demonstrate how to deploy the RTMaps platform to aid in rapid prototyping and validation of ADAS features (e.g. LDW). This use case is illustrated on a small size vehicle, as well as on an SUV. A comparison will be illustrated.

Testing for Euro NCAP - Modeling and Automated Testing

An extensive test environment is necessary for performing Euro NCAP Tests. This presentation will demonstrate test components for performing NCAP tests in the early phase of ECU verification, including a PC-based simulation platform and dSPACE Automotive Simulation Models (ASM), which can be parameterized for the various NCAP tests via ModelDesk.

Using HIL Simulation to Test Camera, LIDAR, Radar-Based Autonomous Driving System ECUs

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 such as maps and V2X communication.