Gallery

Traffic Management for Connected Automated Driving (TM4CAD)

Safety Pool™ Scenario Database

The Safety Pool™ Scenario Database is the world’s largest public repository of test scenarios for automated driving systems (ADS). The database has been developed by WMG, The University of Warwick (UK) and Deepen AI to support the development, verification, and validation of ADS’s.

A founding principal of Safety Pool™ is the belief that the safety of ADS’s should be pre-competitive. In addition to its founders, Safety Pool™ is supported by the World Economic Forum’s Safe Drive Initiative, the UK’s Centre for Connected & Autonomous Vehicles (CCAV), and the WMG Centre for High Value Manufacturing Catapult.

The primary role of Safety Pool™ is to accelerate the pace of ADS technology development by providing an extensive database of test scenarios which can be used for testing Automated Driving Technology via simulation and in the real-world.

It will achieve this by facilitating the sharing of scenarios between organisations, regulators, and researchers and by being an integral part of the CAM TestBedUK ecosystem - assisting organisations with testing their ADS on CAM TestBedUK and other international testbeds and on simulation platforms.

To learn more, visit: https://www.safetypool.ai/

Midlands Future Mobility (MFM)

Midlands Future Mobility (MFM) is an initiative, led by WMG, that brings together technology, people and policy to enable the development, deployment and scalability of transport technology.

Our vision is to achieve zero road-incidents, net-zero emissions and inclusive transport in the West Midlands. To enable this vision, we create knowledge, methodologies and tools for every
stakeholder in transport.

To learn more, click here: https://midlandsfuturemobility.co.uk/

SAVVY

There is an emerging and strong demand for new techniques to enable the robust design and verification & validation (V&V) of ADAS features in a safe, repeatable, controlled and scientifically rigorous environment. This is driven by a number of challenges: reduced engagement of, and reliance on, the driver in the driving task; the very high number and complexity of use cases & test scenarios; reduced access to prototype vehicles; and limited test time, human resources and cost constraints.

The SAVVY project will, therefore, deliver a novel, efficient and accelerated simulation and simulator-based V&V process for ADAS technologies. This project will create the building blocks for the V&V of future technologies based on Field Programmable Gate Array (FPGA) using deep learning and Convolutional Neural Network (CNN) algorithms. These methodologies will be evaluated throughout a product development lifecycle of a real-time ADAS control system.

This project will facilitate collaboration between AVL (consortium lead), WMG, University of Warwick, Vertizan, Myrtle Software, and Horiba MIRA, and will bring together the learning and innovations from 3 past Innovate UK-funded feasibility studies.

Within the SAVVY project, WMG is responsible for identification and definition of test scenarios and execution of the test scenarios in the WMG 3xD Simulator for Intelligent Vehicles. In order to derive suitable scenario variants from high-level scenario definitions, a methodology to identify suitable scenario parameters will be developed. WMG is also responsible for integrating the AVL vehicle under test in the 3xD simulator which involves emulation of the radar sensor and simulation of the camera input to the camera sensor.

VVIL

UK CITE - Connected Intelligent Transport Environment

UK CITE is a globally unique project funded by the Government’s £100m Connected and Autonomous Vehicle fund, delivered by Innovate UK (the UK’s innovation agency) enabling automotive, infrastructure and service companies to trial connected vehicle technology, infrastructure and services in real-life conditions on 40 miles of roads within Coventry and Warwickshire. The project will establish how technology can improve journeys, reduce traffic congestion and provide in-vehicle entertainment and safety services through better connectivity and will see trials on public roads in 2018.

The UK CITE consortium comprises leading industry, academic and local and national governmental organisations. It is jointly led by Visteon Engineering Services Limited and Jaguar Land Rover and includes WMG, Coventry City Council, Coventry University, Highways England Company Ltd, HORIBA MIRA, Huawei Technologies (UK) Ltd, Siemens and Vodafone Group Services Ltd. The UK CITE project will create the UK’s first fully connected infrastructure on public roads using a combination of wireless technologies, which can enable real-world testing in a safe and managed way.

Infrastructure on routes along the M40, M42, A46, and A45, as well as an urban route in Coventry, and the preparation of a Vehicle, Systems and Gantry App, will ensure variable roadside messages appear in-vehicle, either on the vehicle display or smartphone.

Cyber Security

Our cyber security experts are currently assessing cyber security state of the art of DSRC, LTE and LTE-V for V2X road transport applications taking into consideration the use cases implemented as part of this project, reviewing the current ITS architecture and security mechanisms.

Business Case

An important aspect of the project is assessing the business case for investing in V2I infrastructure. Our Operations and Supply Chains Strategy team is exploring the potential business models for commercialisation to ensure that business plans enable the progression to the next stage of technological development. Assuming technological feasibility and whilst at an early stage of their development, this research team has been gathering appropriate information for connected highways, motorways and the automotive sector.

For further information, please visit the official UK CITE website.

SWARM - Self-organising Wide-area Autonomous vehicle Real-time Marshalling

Autonomous vehicles

Autonomous, or self-driving, vehicles have been hard to miss in the news recently, whether this be Tesla's partially automated 'Auto Pilot' feature, or the fully driverless 'pods' that arrived on the streets of Milton Keynes in October 2016.

As the technology becomes more familiar, people are becoming increasingly confident that individual vehicles will be able to drive and navigate themselves on roads and around people. But a single self-driving car is of limited value, it needs to work as part of an existing transport system – therefore conversations are now moving towards ‘how will they actually work in a city network’. Currently one pod can move one person (maybe two if sharing), but it needs a trained safety driver to be in the vehicle, plus traffic cameras to monitor its every move and to make sure it does what is expected.

This is expensive, so to make autonomous urban transport more efficient - while maintaining safety - we need to share this supervision between the pods and external systems (cameras and humans). We aim to achieve this by using Swarm Intelligence (what bees or ants do when part of a colony) to enable real-time, collaborative supervision of pods – meaning individual pods are locally supervised, not only by cameras or humans, but by neighbouring pods in the Swarm colony.

Multi-objective Optimisation of Pod Fleet

Technology inspired by ‘Mother Nature’ is being developed to help manage fleets of driverless pods. The concept is based on fusing together existing information from other vehicles in the fleet to allow each pod to locally decide the most appropriate action for the group as a whole – similar to how insects and birds currently behave. This means that pods can highlight any unexpected behaviour to a supervisor, as well as giving local authorities the chance to take advantage of ‘platooning’, where vehicles follow each other when possible to minimise the number or individual vehicle movements. The technology also makes the system automatically adapt its behaviour to meet demand so that pods can be optimally distributed within a city to the areas where they are most likely.

Co-simulation of Autonomous Vehicles

This project will use WMG’s ‘3xD simulator for Intelligent Vehicles’ in order to conduct remote co-simulations between a simulated pod and a physical pod, located at RDMs Urban Development Lab).