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The State of the Art for Developing and Testing Advanced Drive Assist Systems

May 22, 2018: Warwick University
A One Day Seminar from dSPACE and WMG

There is a rise in demand for intelligent driver assistance and autonomous technologies.  For 30 years, dSPACE has been the market leader for developing and testing automotive electronics.  We have developed a mature range of technologies to allow users to prototype and test vehicle control systems. 

We are running this one day seminar in collaboration with WMG/Warwick University.  They have a worldwide reputation for expertise in intelligent vehicles.  As well as hosting the event, they will provide an overview of their capabilities and the resources they have for research and development.

The talks will be technical, given by engineers for engineers and aimed at providing a better understanding of what is possible.

It offers an excellent opportunity to talk directly about your application and gather knowledge efficiently.  Previous attendees have complimented us on the content.

Key words to describe the day are: Hardware In the Loop, Algorithm Prototyping, Virtualisation, AUTOSAR, Data Fusion, Scenario Generation and Left Shifting.

To attend, please send an email to Wendy Webb (wwebb@dspace.co.uk) indicating your interest.

Agenda

Time Topic
10:00   Introduction
10:15 Hardware in the Loop Testing for ADAS
Hardware in the Loop is a key means of increasing the volume and range of testing.  This session looks at how this can be achieved.
11:00  WMG – Research into Intelligent Vehicles
11:45  Tea Break
12:00    Rapid Control Prototyping
Here we are quickly establishing the viability and performance of new algorithms with support for existing algorithm libraries and specialised hardware
12:45     Lunch
13:30  Virtualisation, Scenario Generation
An important aspect of testing is the generation of candidate data, and the ability to be able to test in the absence of critical components, such as the ECU or sensors
14:15      Tour of the facility
15:00   Engineering Data Management
We recognise that managing data is critical.  Complex systems require a greater volume of data to test and develop.  We address the data management features.
15:45      Close​