Growth & Impact

~€100m Funding

70+ Nationalities

~2,500Publications

€1€5.25To Irish economy

~285Researchers

12 HEIs

90+Industry projects

70+Industry partners

36Patents

Founded 2005: Grown to include researchers from 12 Higher

Educational Institutions

The Lero Consortium

70+ Members have joined the Consortium engaging in 90+ Research Projects since Jan 2015

Academic PartnersMNCs SMEs

Research Programme

What we build

For the world we want

METHODS

SYSTEMS

CONTEXT

How we build

- Autonomous & Adaptive Systems

- Embedded Systems

- Socio-Technical Systems

- Cooperative & Collaborative Systems

- Software System Qualities

- Continuous Software Engineering & Flow

- Ecosystem: open/inner/crowd sourcing in

large-scale GSD

- Participatory Design

- Model Driven Engineering & Evolution

- Automated Software Engineering

- Analytics for Software Development

- Algorithms for Parallelisation and Learning

- Platforms for Advanced Design

- HCI

- Inclusion, Diversity & Ethics

- Trust & Transparency

- Ethics & Data Governance in AI

- Responsible Service Innovation

- Agile Governance (incl. Risk Management

- Technology Adoption/Diffusion

- Security & Privacy

- Regulation, Standards & Certification

Connected Systems Next-Generation Architectures

Tools & PlatformsProcesses

Values Governance

- Smart Systems Architecture

- Social Architecture

- DLT/Blockchain Architecture

- Architecture Modernization

Focus on Sectors

Systems

Methods

Context

Connected &

Autonomous

Vehicles

Smart

Communities

/Cities

Agritech

&

Food

Health,

Wellbeing &

Human

Performance

FinTech GovTech

ICT / Software Sector

Lero Autonomous Vehicles Project Examples

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Blended Autonomous Vehicle Spoke - BAV

Automotive Sensors • AutoSense - Advanced sensors and algorithms for autonomous driving

• Streaming sensor data from vehicle and fixed nodes to cloud

• Extending local vehicle map using cloud sensor data

• Advanced sensor technologies & sensor mix

• Difficult environment sensing (adverse conditions)

• RAVSLAM - Robust Autonomy through Visual SLAM

• Building and maintaining a map from multiple traversals of an environment

• Use of deep learning to “fill-in” for partial sensory information

High Definition Maps

• Integration of multimodal terrestrial and airborne sensor data (Optical &

LiDAR) to rapidly map and monitor road corridors and generate a

semantically rich 3D route-network database

• Develop highly-automated, computational workflows based on Machine

Learning and cloud technologies

• Meet the needs of stakeholders such as transportation developers, local

authorities (planning), safety engineers & vehicle navigation service

companies

Driver Assessment using Telematics

• Industry Partner (re)insures over 3 million vehicles in 50 countries

• Most of these vehicles are tracked using onboard telematics devices

• Analyzing the data will reduce fraud, increase vehicle safety and longevity and reduce emissions

• AI techniques will also provide drivers with bespoke safety information

• Particular attention paid to the risk of EVs and bespoke risk reduction for those vehicles

Neuroergonomics for Remote Operator Monitoring in BAV

• Study remote driver attention and engagement to ensure driver remains “in the loop”

• Develop novel HCI technology for monitoring cognitive engagement during remote supervision of BAV (eye gaze, EEG)

• Test Platform (mobile robot): includes cameras, radar, ultrasonic, perception, mapping and localization, navigation

• Industry partner gains head start in future markets and necessary HCI (neuroergonomics)

Autonomous Payload Perception Systems

• Dynamic load perception, vehicle control with odd-form loads in narrow aisle high stack ware-houses. Emphasis on safety critical auto operation

• Vision/lidar/radar imaging for navigation in multi vehicle and shared human environment

Baledrive Plus

• Quantify operator behaviour to improve performance/lower operating costs

• Predicting time remaining in-field• Field boundary estimation

• Time/crop remaining prediction

•Machine and crop performance• Crop weight estimation

• Machine performance

• Telematics

CAV Infrastructure Development

• NUI Galway Test Vehicle and On-Campus Testbed

• SFI Infrastructure Award (NATDaP)

• Collaboration between Lero and CONNECT researchers

• MU – Lead

• NUI Galway

• CONNECT@UCC

• MTU

• Lero and CONNECT researchers also contributed to successful Future Mobility Campus Ireland proposal

• Lero/UL/ITS submission CAV Ireland Cluster Manager (based in UL)

Policy Development

• Lero researchers active in all WGs in Horizon Europe CCAM Partnership

• Contribution to Government guidelines for testing CAV on public roads in Ireland

• Prof Dan Toal elected as Scientific Council Member for French Oceanographic Fleet (Operated by Ifremer), Jan 2021 – Dec 2026. Advising on Connected Vehicles in the Ocean

Value Proposition - Lero

• Key source of research resources for industry

• Access to leading academic research staff

• Access to state of the art research equipment and technology

• Applied research aligned with needs of Irish based industry

• Solutions Provider

• Key source of competence and problem-solving for industry

• Ability to provide consultancy, training and workshops to industry

• Supply of knowledgeable, innovative, well educated post-graduates and researchers (35% to 40% go directly to Industry)

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Contacts:Joe GibbsGeneral Manageremail: joe.gibbs@lero.ieM: +353 86 2564660

Denise MantonBusiness Development Manager:email: denise.Manton@lero.ieM: +353 87 2704271

Thank you

Research Team

Professor Greg Provan- Complex systems design- Algorithm design- Bioinformatics

Dr Tim McCarthy -Airborne & Terrestrial Mapping Systems- Geospatial Web & Mobile Services- Spatial Decision Support (Cloud-based)

Dr Edward Jones- DSP Algorithm development- Image Processing- Signal processing algorithms

Dr John McDonald- Simultaneous Localisation & Mapping (SLAM)- Computer Vision- 3D Mapping

Dr Martin Glavin- Advanced equalisation techniques- High speed data communication- Automotive vision systems

Autonomous Systems

18

Professor Dan Toal- Real-time control optimisation- Marine Robotics- Sensors & instrumentation- Embedded control systems

Professor Conor Ryan- Machine Learning- Evolutionary computation- Machine vision

Dr Ciarán Eising- Machine vision- Motion segmentation,- Sparse point cloud clustering- Sensor fusion support

Research Team

Dr Martin Mullins- Emerging technology risk transfer- Legal, Ethical & business challenges in new technology adoption

Dr Finbarr Murphy- Machine learning- Changing risk profiles- New business models

Professor Brian Donnellan- Sustainable IoT business models- Data Governance- Commercial, social & organisational contexts for smart IoT system deployment

Disruptive Business Models, Risk, Governance

19

Human Factors

Professor Siobhan Corrigan- Governance & Risk- Human factors underlying

safety, reliability & change- Dynamics of human

performance

Professor Bashar Nuseibeh- Requirements Engineering- Adaptive security & privacy- Security by design

Dr Liliana Pasquale- Topology aware adaptive security – Regulatory compliance for AVs- Forensic readiness

Cybersecurity