Intelligent Mobility @ UCL
EPSRC-funded driving simulator for pushing the maturity of the next generation of autonomous vehicles at PEARL
VISION
We enable a successful transition towards safe and trustworthy autonomous vehicles.
We are experiencing a paradigm shift towards fully autonomous vehicles. These systems have to manage a wide variety of situations, conditions and environments in an accurate, reliable, safe and trustworthy way.
Through IM@UCL, we will deliver impact for public benefit through cross-disciplinary research and engagement with end-users, industry and the public.
This unique platform is underpinned by UCL’s vision to be a hub for technology, knowledge and equipment sharing.
TECHNOLOGIES AND SERVICES
We provide access to a full-size driving simulator and state-of-the-art sensing systems
Full-size
driving simulator
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Subcompact crossover SUV.
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Motion and driver system: Ansible Motion Ltd. Hand Wheel Loading System (HWLS), pedal sensors including control system, and fully-controllable and customisable TFT-instrumented dashboard.
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Vision system: 180° horizontal field of view screen with three projectors and integrated TFT screens into left, side, and centre rear view mirror housings.
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Unity-based simulation and audio.
Immersive Unity environment
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Creation of road network from real-world online map data through Open Street Map (OSM).
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Vehicle physics modelling including engine/gear shifting and dashboard mechanisms.
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Autonomous vehicle control of all surrounding vehicles including vehicle route generation, lane changing, junction management, and collision avoidance.
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Design of vehicle and environmental sounds. .
Behavioural & physiological sensors
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32 channel g.tec g.Nautilus wireless EEG headset with gold-plated dry electrodes.
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Integrated ECG electrode cables for disposable electrodes.
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Tobii Pro eyetracking glasses to analyse gaze patterns.
VIDEOS AND PODCASTS
A unique platform available at UCL
IM@UCL on the FullyCharged.Show
Increasing Situational Awareness
through touch feedback
Media from selected projects
Intelligent Mobility @ UCL: The Podcast
A UNIQUE TEAM OF EARLY-CAREER RESEARCHERS
We deliver transformative and disruptive science through multidiciplinary collaboration
Kamal Achuthan
Lecturer in Transport Studies
Jemima Unwin
Lecturer in Interactive Environments
Mehdi Baghdadi
Lecturer in Powertrain Modelling
Jan Luca
Kästle
PhD student
TECHNICAL TEAM
Alexander
Blakesley
PhD student
Kamyar
Motaghedolhagh
PhD student
Jakub
Krol
Research Fellow
ADVISORY BOARD
Guided by experienced academics
Sarah Spurgeon
Professor of Control Engineering
Head of UCL EEE
Anthony Steed
Professor of Virtual Environments and Computer Graphics
Support
Our
Funders and Industrial Partner
IM@UCL is supported by
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the Engineering and Physical Sciences Research Council (EP/S01800X/1 and EP/R037795/1).
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UCL PEARL.
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Ansible Motion.
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Department for Transport's T-TRIG 2019 innovation funding.
Engineering and Physical Sciences Research Council
University College London
Ansible Motion
Department for Transport