Our Self Driving Track Days events aren’t just for learning, outreach or marketing, they’re also about helping media outlets start to really understand some of the technologies that are used in autonomous vehicles, how they work, why they are necessary and how they are used.
We always work closely with media outlets to help provide the message that there are many opportunities for technology development (for new companies looking at this field) as well as research, and of course skills development and employment opportunities for individuals – these outlets reach far more people than we could just through our own marketing.
We often attract coverage on national TV, as well as national-publications in the auto and technology industries – and our event in Austria was no exception!
Here’s a selection of some of the coverage we’ve received for last week’s event so far:
Meridian Mobility Technology is the new name for the UK’s Connected and Autonomous Vehicle Hub, announced in March, and will take on some of the direct oversight tasks managing R&D projects which have been part-funded by the UK government.
Its role is wide ranging and as yet, slightly fluid, but will be a grant-funded (by the taxpayer) subsidiary of the Advanced Propulsion Centre and work closely with the government’s Centre for Connected and Autonomous Vehicles.
Some of its indirect responsibilities will be to act as a central body for promotion of the industry, attracting investment from outside the UK, support export from companies in the sector, and develop approaches to improve skills development in the sector.
We have been consulted and involved in some of the events leading up to this organisation’s creation and look forward to its activities and influence in this quickly growing and exciting sector.
Further details about the organisation’s exact structure, purpose, funding and activities will be announced in the near future, but you heard it here first!
NovAtel are a series-sponsor for Self Driving Track Days and will be presenting in the afternoon workshop session of Introduction to self-driving car technologies (positioning, software and processing).
In the last few days before the event, we talked to Andreas Niemann, NovAtel’s Business Development Manager, based in Germany – about positioning technology for autonomous vehicles, and what changes are expected in the future.
Satellite-based navigation has been a useful tool for consumers for 20 years, how will that change in the next 20 years?
Although current tools may be sufficient for consumer applications that are not safety critical, this is not a tool that can be used ‘as is’ for applications like (conditionally) autonomous cars or other unmanned vehicles.
Accuracy levels required for applications such as military vehicles, ships, agriculture or in the offshore oil industry already since the beginning of GPS more than 20 years ago, must be adopted for safety critical functions for cars within the next generations of car lines. NovAtel has been a pioneer in positioning for the mentioned non-consumer markets since the beginning.
The biggest differences for future satellite-based navigation systems to today’s navigation devices performance will be in the availability of positioning (always available) and in the integrity of positioning (always trustable). It will become a system that is crucial for safety-of-life applications.
GPS signals are prone to atmospheric interference, problems in urban environments and even bad weather – how can you counter-act these?
NovAtel, being part of the Hexagon group, is able to utilize our group-owned correction services for satellite-based positioning. They can compensate and correct the known issues: clock differences between satellites and receivers, satellite orbit deviations and errors caused by the ionosphere.
For example, customers can access to the global Terrastar PPP service (Precise Point Positioning by Hexagon) with NovAtel receivers either through a certain satellite constellation or through cellular internet connection. Correction performance will be continuously improved by investing in further ground stations and continuous R&D. Already today, cm-level accuracy is possible to achieve, even under non-ideal reception situations.
NovAtel is a leader in designing multi-constellation multi-frequency receivers – not only GPS (USA), but GLONASS (Russia), Beidou (China) and Gallileo (Europe) – that greatly improve availability and accuracy of the positioning performance and reduction of outages.
Another great step will be achieved for example in cars by utilizing inertial sensors or simply sensors that are installed in cars anyway (wheel, steering etc.) to optimize the output. The performance of that kind of positioning will be incomparably better than all systems that are available today in consumer type devices.
What are the drawbacks of these techniques?
The backbone of the techniques mentioned is already existing:
Correction networks are running, more satellite constellations will be added and go into operation mode. Positioning algorithms have been developed to improve positioning continuously. NovAtel has a further roadmap to improve algorithms further.
This will take more time and continuous improvement and requires close cooperation with the end customer, the car maker and/or system integrators.
We expect the positioning system to become more customer specific i.e. for autonomous cars as the car behaviour (delivered by sensors installed in the car) will be an input for the navigation system itself. It will take a lot of development effort on both sides, at the car maker as well as the GNSS system provider, but we know that the awareness and understanding has been built.
Precision GPS equipment is really expensive – If organisations like startups and universities need hardware to develop a new product, what support is available?
We are opening channels to work with Universities and customers at the same time to maximise the efficiency of such cooperation, i.e. in 3-party agreements. NovAtel works actively together with Universities, such as Stanford, and has established relationships with a large number of startups and we are supporting them in their R&D work.
It is not all about providing equipment to customers, universities or startups, the key of success is understanding their intention and then decide together what the best technical and commercial approach is to achieve the target. Our partners trust NovAtel to propose the best solution short and long term.
Can’t they just use their smartphone with the accelerometer?
Smartphones are receiving satellite signals on a single frequency without any of the corrections mentioned above. That is accurate-enough for a lot of consumer type of application (i.e. simple navigation from A to B or tracking sports activities) but not accurate enough to deliver precise positioning results under different conditions (open sky, urban environment etc).
Ideally they could deliver metre-level accuracy but not as often as required for high-precision and safety-critical applications, hence, they are not reliable.
Speaking of smartphones, why does my smartphone get hot when I’m using the maps – and is this also a problem that affects precision-grade GPS systems?
Navigation/Positioning is a hardware and software feature of smartphones, which requires computing power within the GPS/GNSS receiver of the smartphone and also by the central processor of the smartphone. Same as with any other computer the device gets warm indicating significant computing activity.
That’s normal and no problem for any system running within specified limits at all.
In battery powered portable devices it will just discharge the battery faster than without using GPS/GNSS and requires earlier recharging.
The electronic content of cars has grown a lot in the past and will grow significantly. The power consumption caused by electronic systems in general will increase but high-precision GPS/GNSS alone represents only a very small fraction of that.
The next generation of satellite navigation systems will include what features to make them more accurate?
Similar as the answer to the question what will happen in the next 20 years, features such as multi-constellation (not only receiving the positioning signals from the US’ GPS satellite constellation, but also from the Russian GLONASS, the European Galileo, the Chinese BEIDOU or other future constellations) will increase availability.
Multifrequency reception will increase accuracy which will be supported by further software optimization. Other things such a as sensor fusion of various external signals such as inertial sensors, wheel sensors etc will be limited to applications where this is absolutely needed as it will also increase the system cost. Sensor fusion algorithms will also achieve a yet to be determined increase in positioning reliability.
For automotive, compliance to ISO26262 (Road Vehicles – Functional safety) is mandatory and will develop the GPS/GNSS feature into application that are safety (of life) critical. In that case it is important that the positioning is not only precise but absolutely trustworthy. Methods to enable that are currently been researched.
What are the biggest priorities with GPS research and product development right now?
Development of hardware and software-algorithms to make them compliant with ISO26262 for automotive safety and integrity.
Sensor-fusion to provide a consistent and reliable position.
Instant availability of global correction services (i.e. PPP)
The company is one of the leading developers of new positioning technologies, and have published An Introduction to GNSS, a free eBook, to help improve understanding of the technology. [Andreas kindly responded to our questions in his second language, we have edited lightly for clarity.]
Everyone’s talking about testing and safety of Autonomous vehicles, from design through production and evaluation – all well before the general public get into production vehicles – but who does this, and how?
Functional Safety is the automotive industry’s answer. Developed from the pioneering work on safety that evolved through the US space programme, the main standard for the automotive sector is ISO 26262, the second edition of which will be released in late 2017.
I caught up briefly with the very busy but charming John Birch, Chief Engineer for Functional Safety at Horiba Mira, who will be leading a special ½ day workshop on Functional Safety Considerations for ADAS and Autonomous Vehicles at OAMTC Teesdorf on 28 July.
You’re with us in Austria talking about Functional Safety with Autonomous Vehicles – why is that important, even for people new to the area?
Even for a prototype vehicle used in a controlled environment there are functional safety considerations that should be evaluated and addressed.
These should addressed in a documented safety case that can be reviewed and assessed by the relevant stakeholders. What is important is to be able to tailor the ISO 26262 standard to the vehicle systems and use cases of interest to ensure a safety case that adds maximum value.
Can’t everything be picked up in the testing of the system after it’s complete?
System test is an important piece of the jigsaw but would never be considered to be sufficient due to the infinite number of cases to be considered. A solid basis for developing the safety requirements upon which the testing can be founded is crucial.
What do you think about the Self Driving Track Days project – is community outreach important?
Absolutely. Many of the safety-related considerations of autonomous vehicles have an ethical element that will need to be informed by forming and gauging the views of the general public.
Join us at OAMTC Teesdorf to attend the workshop, with a general Introduction to functional safety, Introduction to ISO 26262; Lifecycle, Safety Management, Concept Phase, System Development, Hardware and Software Development and Specific functional safety considerations for ADAS and autonomy.
Dr Árpád Takács works as an Outreach Scientist for AI Motive, one of the leading lights in development of new techniques to help driverless vehicles understand their surroundings and start thinking for themselves. The company has offices in Budapest, Helsinki and Mountain View, California.
Today, most of the ADAS (advanced driver assistance systems) are relying on classical computer algorithms, especially in the vision domain. This is very suitable for simple, independent tasks, such as lane detection, forward collision warning, even simple decision making.
As the number of ADAS functionalities increases, the simultaneous detection, interpretation of the environment gets more complex, requiring a large number of hand-written rules and methods for solving the task of self-driving.
The power of AI is that it is a scalable approach, AI-based methods rely on a training data where visual or behavioral features are learned automatically (i.e. we don’t have to tell the AI what features to look for on an images), and most importantly, AI can generalize much better than classical algorithms, increasing its robustness.
Can you quickly explain the difference between AI, Machine Learning and Deep Learning?
These phrases mean different things to experts, and the definition of AI is a difficult task even today.
In my interpretation, AI can be a machine, an application or an artificially created consiousness, reflecting cognitive intelligence.
Machine Learning is a tool, which provides th AI the ability to change a behaviour intentionally and in a reproducable way – Machine Learning is the ‘training method’ of AI.
Deep Learning is closely assiciated with Neural Networks, one of the most promising methods of AI, where Deep Learning is hierarchical, structured learning method for Neural Networks with multiple hidden layers.
Getting started with artificial intelligence is daunting – any tips for a first-time software developer on how to get started?
One of the best ways to start understanding AI is through vision-based detection tasks, where image recognition (particularly digit recognition) is a well-documented, popular area. Starting with the basics of machine learning, SVMs, simple classification tasks, then moving towards Neural Networks, Deep Learning and evolutionary algorithms is a standard way to go.
Software frameworks and public datasets can help with the training, such as using Caffe, Theano or Tensorflow.
[Video courtesy of NVidia]
What do you think about the Self Driving Track Days project – is community outreach important?
Self-driving is one of the hottest topics of our times technology-wise. This is going to be the first technology where AI will be used in a safety-critical system on a world-wide basis, and it is crucial that the public understands the driving force and brain behind these machines.
So yes, community outreach is a key to bringing self-driving cars on the streets. Self Driving Track Days is a great opportunity for this.
You’re recruiting – what qualifications and experience are you looking for?
In general, we are looking for qualified, agile professionals with excellent programming skills, string mathematical background (for AI researchers especially) and people with experience in working with automotive development.
More precisely, we are looking for AI and image processing researchers, C++ developers, software and embedded system engineers, control engineers.
Is finding enough good recruits challenging?
It has always been challenging since the beginning – as a small company, we need professionals with a wide field of knowledge, out-of-the-box thinking and the ability to switch focus in a short time.
While finding such recruits is not easy the problems around self-driving are so exciting and challenging that it really helps us finding the brightest minds.
What advice would you give to automotive technology companies that are worried about how they fit into the next generation of cars – the new driverless ecosystem?
The automotive industry started going under a major change in the last years, software is taking over the most important place, and the position of OEMs as integrators is less stable than it used to be.
Most of the OEMs and Tier 1s have recognized this and started with the development in-house, but now there is a lot of space for new companies and technologies in the new ecosystem (such as self-driving software, connectivity etc.).
The industry is opening up, so my advice for worrying companies is to take this as an opportunity to start developing new technologies together with the newcomers – OEMs and Tier 1s have the experience in productizing an idea, but this idea can now come from someone outside of the traditional automotive field.
With more than 50 attendees registered from more than 30 companies, time is running out to book your place!
Join us for a full day of training and workshops, no prior learning required – ideal for people wanting to learn more about driverless vehicle technology!
In the last two weeks before the Self Driving Track Days event at OAMTC Teesdorf, near Vienna, Austria, we talked to Dr Daniel Watzenig, Head of the Electronic Engineering & Software department at the Virtual Vehicle Research Center in Austria.
Daniel is also Vice President of the Artemis Industrial Association, which supports organisations involved with Embedded Intelligent Systems across Europe.
Can you tell us more about the Virtual Vehicle Research Center?
The Virtual Vehicle Research Center is an international platform for research and development in the automotive and rail industry, located in Graz, Austria.
Virtual Vehicle addresses “smart mobility” and, in particular, the vehicles of tomorrow, which should be safe, environmentally-friendly and more and more connected with its surroundings, so cutting-edge research and technology development is essential, and simulation is a key opening completely new possibilities.
The research center provides a close linkage of numerical simulation and experimental validation, and offers comprehensive system simulation up to the complete vehicle.
Our network has over 80 international industry partners including leading OEM‘s, tier 1+2 suppliers and SW vendors, more than 40 scientific partner institutions worldwide and more than 200 employees.
The Virtual Vehicle Research Center is part of the Austrian COMET K2 Program, and the Center actively engages in numerous EU funded projects (27 ongoing, 20 competed projects) and offers a broad portfolio of commissioned research and services.
What can employers do to improve the quality of potential recruits?
There is a strong need for Software engineers and people who are able to work on AI-based solutions and fault-tolerant algorithms/systems.
Industry, especially in Europe, has to engage more with universities to help to educate the right competences
Brexit might be damaging for the Automotive industry in the UK – will you still work with UK companies afterwards?
Yes, we have a long history with British partners (academia and industry). We do not expect that the Brexit will influence that. Let’s see what the ongoing negotiations (EC and UK) will result in.
I am still confident that we will see a positive outcome.
What do you think about the Self Driving Track Days project – is community outreach important?
Yes, Austria is catching up. The newly created public test region “ALP.Lab” (highway, city of Graz, rural roads) and the upcoming one “DigiTrans” (trucks, intermodal traffic) clearly show that.
Having more and more demonstration activities in Austria will certainly improve our visibility.
There has been lots of news about driverless cars recently – are there any business opportunities left?
When ever it comes to Software, Artificial Intelligence, Internet of Things and Testing… Europe might be too conservative, however, most European OEMs and Tier 1 have locations in the San Francisco Bay area in California.
The Virtual Vehicle Research Center team will be running an autonomous vehicle demonstrator (on-track) at the event, as well as looking in on some of the workshops.
Book now to secure your place at this unique event!
Mark O’Donnell is Senior Product Manager for the Blue Box at NXP, the Dutch semiconductor company, with Mark himself specialising in automotive micro-controller systems.
NXP have supported the inaugural Self Driving Track Days series and will be presenting a short technology session and demonstration on 28 July at OAMTC Teesdorf.
Tell us about this version of the Blue Box – what’s it for and how is it different from the first version?
The main things that changed were the form factor and connectivity options – so it is configured to be deployed in development vehicles.
How are these systems different from offerings from companies like NVidia, with their behemoth $20,000 PX2?
The basic configuration of BlueBox2 is a platform for developing up to L3 applications.
NXP provides solutions that can be taken into production vehicles today, that satisfy automotive application requirements – functional safety, auto qualification, automotive reliability. BlueBox2 can be expanded, in terms of its hardware (via pcie slot) enabling it to support more autonomy use cases.
You’re doing a special joint demonstration with Intempora at our event on 28 July – tell us about that?
The demonstration integrates Intempora’s Real Time Multisensor Applications (RTMaps) software onto the NXP BlueBox. This highlights Multi-Sensor synchronization and fusion technology, which is required for Autonomous driving development and testing. The demo has Radar, Vision, and LiDAR sensors.
Who else are you working with at the moment?
So far we have announced our partnership with Elektrobit, in that RobinOS now supports BlueBox.
What other products does NXP produce for driverless vehicles and problems like computer vision and AI?
NXP provides products for front camera and surround view applications. Hardware accelerators that are used by NXP today have been used to demonstrate their capabilities in the field of AI. NXP is the market leader in Radar processors and a leading provider of V2X products for beyond line of sight sensing – all of which are required for driverless vehicles.
Mark will be presenting during the afternoon introductory session “Introduction to self driving car technologies” coming up on 28 July.
Self Driving Track Days comes to OAMTC Teesdorf, Austria on Friday 28 July 2017 for a 1-day track-side event incorporating autonomous vehicle demonstrations and a full day workshop for anyone interested in learning more about driverless vehicles and related technologies. The event will lead attendees through the basic principles of building an autonomous vehicle; design and safety implications; plus a detailed overview of the sensor, processing and software technology suppliers in this rapidly growing sector.
“The event provides an opportunity for learning, networking, research and development, and collaboration, with live demonstrations of vehicles on-track, guided by the experts who built them. Sense Media has run a series of well-received demo events in the UK, France and USA – this event at OAMTC will be the first demonstration of autonomous vehicles available in Austria for members of the public to sign up to.” Comments Robert Stead, Managing Director of Sense Media.
He continues “Wherever you are based, whatever autonomous technology you focus on, whatever your resources – Self Driving Track Days is on your side to educate and provide hands-on experience for those with an interest in autonomous vehicle technologies.”
Introductory and intermediate level workshop sessions
Attendees will gain an understanding of the technologies that enable autonomous driving in our technology showcase, with discussions around AI, Sensor Fusion, Open Standards, Functional Safety and more. The workshop has been developed in close coordination with experienced technologists from across the autonomous driving industry. 3-hour sessions will be delivered by specialists from TU Graz, Codeplay Software, AIMotive, Horiba Mira, with further contributions from AutonomouStuff, NovAtel, Quantum, and a joint demonstration from NXP and Intempora.
“A really useful and informative day. The sponsors were very helpful and thought provoking. Simply too much to take in on just one day and I thought of so much more to ask about while travelling home” James Hardy, University of Derby
In addition to the workshop, participants will have the opportunity to ride in an autonomous vehicle demonstrating a range of sensors and communication technologies. This unique opportunity will give attendees a real insight into the operating principals and practical considerations of building autonomous vehicles.
Visitors and press are invited to see first-hand what the latest technology can do, how the vehicle interacts with other vehicles and environment, and talk to the engineers developing the full vehicle systems. In this intimate venue dedicated to hosting Self Driving Track Days, attendees have time to get up close and hands-on with the vehicles to learn about how they operate.
Live demonstration of ADAS sensors in a fully equipped test car, on the test track by TU Graz. The Series production BMW 640i has a full ADAS package, including:
Continental ARS 308 combined short/long range radar in target and object mode
Our second UK training workshop, held at Daytona Karting in Esher, Surrey – close to central London, was a success – bringing together dozens of different companies to explore driverless vehicle technologies. Our popular “Introduction to driverless vehicle technology” workshop ran twice.
Tim Swanson, from AutonomouStuff, describing the company’s offerings in R&D research platforms, as well as additional engineering services relating to the four cores of autonomous vehicle construction. Tim also ran through data management (a service offered in conjunction with Quantum) and sensor suite approaches.
Kevin Doherty, NovAtel explored GPS and GNSS technologies, highlighted system approaches, accuracy issues and possible solutions (including RTK and inertia measurement), as well as how those systems.
Eric Prineau, from LeddarTech, described principles of LiDAR – the primary seeing system used in autonomous vehicles, and how solid state units will enable lower unit cost and simpler data collection for production vehicles and Philippe LeBon, from Intempora, explored the company’s sensor fusion and categorisation system – RTMaps – describing recording of data from multiple sources, with storage and data manipulation in a modular fashion in R&D vehicles.
Anish Mohammed, security advisor for Privacy Shell, hosted a short talk on driverless vehicle security after lunch, before an update from SDTD co-founder Alex Lawrence-Berkeley on available UK funding for connected and autonomous vehicles, a highlighted round-robin of useful online resources for further learning and standards, future events and the Formula RoboKart project – a vocational ADAS/autonomous vehicle competition in early stages of planning.
Attendees and demos
Attendees came from across the automotive industry, as well as academia and independents, including Jaguar Land Rover, Intel, ADIADA, Ricardo, Huawei, PTL Engines, NCC Group, Bestmile, Parkopedia, Vianty, Autocar Magazine, Qualcomm, Nova Modus, Street Drone, SoftKinetic, Samsung, APTCore, OXTS, Veripos, Mipd, plus Surrey, Loughborough, DeMontfort and Nottingham Universities.
Ride-along track demos were delivered by DataSpeed and Anthony Best Dynamics, respectively showing off their R&D and test platforms to attendees, and on Monday we were also joined by the team from Formula Pi.
Each workshop day concluded with a panel Q&A session, which teased out some thorny often stimulating ethical, technical and legal questions.
World exclusive talk and technology demo
Dr Torquil Ross-Martin, founder of AutoRD, gave a very well-received presentation on his company’s driverless motorbike, based on a BMW C1 – the first time the prototype system had been seen in public – as such a world exclusive! Describing the development and prototype engineering processes and systems in use – many of which he and his team had custom developed – attendees were left both bewildered and startled by the remarkable achievement of creating a two-wheeled vehicle that could start, stop, steer and drive without human intervention, gyros or additional wheels.
The AutoRD team used the track for testing throughout the event, and were able to perform on-track demos while engineers answered questions from the audience assembled on a nearby viewing platform.
Monday night fun
The busiest day (Monday) ended with a one-hour endurance karting race, fought by 14 two-person teams (team-mates were randomly allocated) made up from sponsors, speakers, workshop attendees and members of the Self Driving Track Days team.
A burst of rain during the warm-up meant the first dozen laps were fraught with spins and accidents, but the shower passed, the track dried, and race soon settled into a thrilling battle of driving skill – with speeds reaching 65mph and top teams completing more than 60 laps!
Gregory Epps (React AI) and Moe Hashimi came in third, Steve Grzebyk (DataSpeed) and Alex Lawrence-Berkeley (Self Driving Track Days) coming in second, and Daniel Eastwood (PTL Engines) and Ian Hailey (Vianty) finishing top, a full lap ahead of the second place team. Fourth, fifth and Sixth place teams were separated by only a few seconds after more than 60 laps – an impressive level of driving prowess from a group of very inexperienced racers!
Following the race, our hosts at Daytona fired up the BBQ and everyone enjoyed a delicious alfresco dinner.
Future training in Europe and the UK
The final 2017 workshop for Self Driving Track Days will take place nr Vienna in Austria, and provide at least five brand new ½-day training workshops, on-track testing time and driverless technology demonstrations.
AutoSens, our professional vehicle perception and ADAS engineering conference – will take place in Detroit, in May, and Brussels in September. Both conferences are well attended technical events, and aimed at established engineers in the ADAS and vehicle perception sectors.
Self Driving Track Days will return to the UK in 2018, so please join the mailing list if you’d like to be kept informed.
We talk a lot about the importance of understanding the technologies used in autonomous vehicles, and regularly highlight the opportunities that model cars present, such as demonstrators running on Elektrobit Robinos, Raspberry Pi powered Formula Pi robo-cars, or smaller models using the Arduino processor platform.
In fact, we are very vocal about their value as a training platform for the next generation of ADAS and autonomous vehicle engineers.
Where else can you develop your own driverless car, using the software and hardware tools available on any budget, and take the same developed algorithms and machine learning to apply with very little additional work between a toy on your desk and a car on the road?
And so, after much preparation, we are ready to announce a very special partnership that fulfills the UK government’s most pressing investment programme for the upcoming competition of testing infrastructure, facilitated by Innovate UK and KTN – the Knowledge Transfer Network.
We have a very important alternative view which we feel represents good value for money to the taxpayer, as well as a realistic approach which
On Tuesday of this week, I attended a special preview event, meeting with the head of innovation at Innovate UK, as well as members of the team from the government policy unit, the Centre for Connected and Autonomous Vehicles, and the team from the newly formed ‘CAV Hub’.
A few days later, Business Secretary Greg Clark launched the first competition to access funding from the Government’s £100m investment programme supporting the creation of test facilities for connected and autonomous vehicles on 30 March 2017 at the Society of Motor Manufacturers and Traders Connected Conference in London.
The programme, which is being match funded by industry, to take the total spend up to £200m over 4 years, is being launched as a grant through a series of funding competitions. The first competition announced today will allow bids for an initial share of £55m of the test bed funding.
The Big Bid
Working with our good friends at Babbacombe Model Village, whose enclosed development has developed into a comprehensive range of built infrastructure, we plan to put in a bid for approximately one twelfth of the competition category value, since the Village is 1/12th scale.
By doing this, we will deliver exceptional value for money to taxpayers, as well as provide world-class training and evaluation facilities for autonomous vehicles and the engineers that develop them.
The location has a variety of road infrastructure projects underway, connections with scale-model transport hubs, all-weather operation, street furniture and signage to DfT specification, and on-site support facilities that include design and build workshops, electricians on site, office space to let and a very positive public opinion of the facility, thanks to its long history as a family friendly tourist attraction.
In fact, we can think of no better venue to host exciting new businesses looking to scale-up.
After 5 decades of development, the facilities are world class. All the roads and transport hub areas are privately owned, so they are easy to close for small scale experiments. As with all test sites, the nature of the venue means that occasionally wild animals do venture on to the roads, so engineers are encouraged to be present near cars at all times.