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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.

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TECHNOLOGIES AND SERVICES

We provide access to a full-size driving simulator and state-of-the-art sensing systems

 

Full-size
driving simulator

  • Subcompact crossover SUV.

  • 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.

  • Vision system: 180° horizontal field of view screen with three projectors and integrated TFT screens into left, side, and centre rear view mirror housings.

  • Unity-based simulation and audio.

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Immersive Unity environment

  • Creation of road network from real-world online map data through Open Street Map (OSM).

  • Vehicle physics modelling including engine/gear shifting and dashboard mechanisms.

  • Autonomous vehicle control of all surrounding vehicles including vehicle route generation, lane changing, junction management, and collision avoidance.

  • Design of vehicle and environmental sounds. . 

Behavioural & physiological sensors

  • 32 channel g.tec g.Nautilus wireless EEG headset with gold-plated dry electrodes.

  • Integrated ECG electrode cables for disposable electrodes.

  • SMI eyetrackers to analyse gaze patterns.

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HOW IT STARTED AT UCL PAMELA

A unique platform available at UCL

 

Selected projects running at IM@UCL

A UNIQUE TEAM OF EARLY-CAREER RESEARCHERS

We deliver transformative and disruptive science through multidiciplinary collaboration

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Bani Anvari
Lecturer in Intelligent Mobility
Director of IM@UCL

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Helge Wurdemann
Associate Professor of Robotics

Kamal Achuthan
Lecturer in Transport Studies

 

 
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Francesca Boem
Lecturer in Control Methods

 

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Will Newton
Senior Teaching Fellow

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Laura Toni
Lecturer in Communications and Systems

 

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Daniel Scott
Lecturer in Reality Capture

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Will McDowall
Lecturer in Innovative Systems

Jemima Unwin
Lecturer in Interactive Environments

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Ellie Cosgrave
Associate Professor in Urban Innovation

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Aneesha Singh
Lecturer in HCI

Mehdi Baghdadi
Lecturer in Powertrain Modelling

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Jan Luca
Kästle 
PhD student

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TECHNICAL TEAM

Alexander
Blakesley 
PhD student

Kamyar
Motaghedolhagh 
PhD student

Jakub
Krol 
Research Fellow

ADVISORY BOARD

Guided by experienced academics

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Nick Tyler
Chadwick Professor of Civil Engineering
Director of UCL CTS

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Yiannis Ventikos
Kennedy Professor of Mech Eng
Head of UCL Mech Eng

Sarah Spurgeon
Professor of Control Engineering
Head of UCL EEE

 
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Yvonne Rogers
Professor of Interaction Design
Director of UCLIC

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Peter Jones
Professor of Transport and Sustainable Development

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Jose Torero Cullen
Professor of Civil Engineering
Head of CEGE

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Stuart Robson
Professor of Photogrammetry
and Laser

Anthony Steed
Professor of Virtual Environments and Computer Graphics

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Gabriella Vigliocco
Professor of Psychology

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Hugo Spiers
Professor of Cognitive Neuroscience

Support

Our
Funders and Industrial Partner

IM@UCL is supported by

  • the Engineering and Physical Sciences Research Council (EP/S01800X/1 and EP/R037795/1).

  • UCL PEARL.

  • Ansible Motion.

  • Department for Transport's T-TRIG 2019 innovation funding.

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Engineering and Physical Sciences Research Council 

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University College London

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Ansible Motion

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Department for Transport