We can help to accelerate the ambitions of universities by achieving some of their goals on the autonomous journey.
Do you want a webinar or guest speaker working in the autonomous space?
Do you need a vehicle platform for a new autonomous technologies module? Are you restructuring your Engineering courses to include self-driving technology modules?
Are you working on projects that require real data on an autonomous vehicle on public/private roads?
Our engineers are ready to answer any questions you have.
Roll with us as we aim to share our knowledge and expertise with you.
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 StreetDrone’s expert deployment and safety engineers, who will ensure that the ODD meets your trial aims and objectives.
To achieve the behaviour defined by the ODD above, StreetDrone 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.
Once software modules are selected, we define a hardware specification to meet your use-case. Choose from our flagship R&D trials platform, the StreetDrone 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.
StreetDrone 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.
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, StreetDrone will plan a validation schedule, in simulation, bench testing and proving ground to ensure that a fully justified safety case is developed.
Download our safety approach
Once you’re ready to roll, StreetDrone can provide the technical resource to make your deployment as smooth as possible. From safety drivers to monitoring autonomous engineers, the StreetDrone 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.
Download our safety approach
Universities are all at different levels in the autonomous space. There isn’t a one size fits all. StreetDrone can help at different levels.
Our education programme will be 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. StreetDrone can get you started quickly and easily.
StreetDrone have the experience and know-how to get you in the right direction.
We are always interested to hear about the new applications that will bring us all together in collaboration for the good of future transport.
Open and flexible autonomous road legal research vehicle.
Engineering support with any level of assistance required.
Practical experience is invaluable for students and researchers.
Simulation vehicle with open-source vehicle model.
Self-driving expert webinar.
Enabling your students to test, validate and deploy their AI solutions on perception, path planning and controls for autonomous driving.
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