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We accelerate your ambitions and help you achieve your goals on the autonomous journey
Whether you’re planning a future mobility trial on the public road, working on projects that require real data on an autonomous vehicle on public/private roads or wanting to test out a fully autonomous MaaS business model, our engineers are ready to answer any questions you might have and to support you on your autonomous journey.
Our expert deployment team is ready and waiting to help get your vehicles on the road. Before a wheel turns, our specialist engineers can help to build a full deployment road-map, centred around your specialist use-case and trial goals. Read on to discover what our process looks like.
01
Arguably the most important step of the process when setting up an autonomous vehicle trial, is defining an operational design domain (“ODD”). The ODD defines the environment in which the vehicle(s) will operate, and the behaviour within that environment.
The ODD is chosen with the help of SD Advanced Engineering expert deployment and safety engineers, who will ensure that the ODD meets your trial aims and objectives.
02
To achieve the behaviour defined by the ODD above, SD Advanced Engineering will help you select a range of proprietary and enterprise open-source autonomous software modules. If needs be, our specialist team can further cater these to your specific use-case.
03
Once software modules are selected, we define a hardware specification to meet your use-case. Choose from our flagship R&D trials platform, the e-NV200, or choose our lightweight Twizy 2-seater EV. Each vehicle is fitted with sensors and computation to deliver the self-driving functionality.
Our self-driving technology is designed to be transferred to any vehicle, so our engineering team can implement our control systems on a vehicle of your choice.
04
SD Advanced Engineering has a range of complementary tech integrations to maximise the efficiency and output of your self-driving trial.
Whether it be an analytics package, data storage facility or mission control application from our partners Bestmile, we can make sure that your technology meets the state of the art.
05
The combination of ODD, software and hardware (the latter two known as VDD), needs to have a robust safety case before deployment. This safety case is in line with location specific best practices such as the DfT code of practice for driverless testing.
Furthermore, SD Advanced Engineering will plan a validation schedule, in simulation, bench testing and proving ground to ensure that a fully justified safety case is developed.
06
Once you’re ready to roll, SD Advanced Engineering can provide the technical resource to make your deployment as smooth as possible. From safety drivers to monitoring autonomous engineers, the SD Advanced Engineering team is on hand to get you rolling. Our onsite teams can be complemented with an array of remote support options.
If you want to build your own technical expertise, choose from our training options in safety driving, deployment and data collection.
Our expert deployment team is ready and waiting to help get your vehicles on the road. Before a wheel turns, our specialist engineers can help to build a validation plan in line with local guidelines and regulations, to build this into a full safety case for specific operational design domains.
Our education programme is flexible as we know each institutions requirements vary. Our products and services aim to provide the platform for your researchers and students as they continue to shape the autonomous technology world. SD Advanced Engineering can get you started quickly and easily.
We bring your autonomous application to life with world-class, state-of-the-art technology – your success is our goal.
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