Safety systems and human-machine interfaces oriented to diverse population towards future scenarios with increasing share of highly automated vehicles

Climate, Energy & MobilityHORIZON-RIAID: 101076868
EC Contribution
€79,998
Consortium Size
17 orgs
Start Year
2022
Summary

Facing to the challenge of future highly automated vehicles, where occupants can freely orient themselves to engage in non-driving activities. This new environment prompts questions about how car occupants will actually sit, what activities they will engage in, and how they will informed through the HMI to keep them in the loop if necessary. AWARE2ALL aims to pave the way towards Highly Automated Vehicles (HAVs) deployment in traffic, by effectively addressing the changes in road safety and changes in the interaction of different road users caused by the emergence of HAV through the development of innovative technologies along with the corresponding assessment tools and methodologies. AWARE2ALL will develop safety and HMI systems that will be interrelated through achieving a holistic understanding of the scene to ensure safe operation of the HAV. AWARE2ALL proposes a common conceptual universal safety framework for considering Human Machine Interaction (HMI). The project will be built on the results of projects funded under H2020 and other R&D programmes addressing the identification of new safety-critical situations and the most likely positions and postures considering the expected HAV applications. The main objective of AWARE2ALL is to address the new safety challenges posed by the introduction of HAVs in mixed road traffic, through the development of inclusive and innovative safety (passive and active) and HMI (interior and exterior) systems that will consider the variety of population and will objectively demonstrate relevant improvements in mixed traffic safety.

Consortium (17)

Project Results (39)

Source: CORDIS, the EU research results database.

Publications (19)
Exploring visual language models for driver gaze estimation: A task-based approach to debugging AI
Computer Vision and Image Understanding· 2026DOI
Paola Natalia Cañas, Alejandro H. Artiles, Marcos Nieto, Igor Rodríguez
Fault Tolerance and Fallback Strategies in Connected and Automated Vehicles: A Review
IEEE Open Journal of Intelligent Transportation Systems· 2026DOI
Mario Rodríguez-Arozamena, Jose Matute, Javier Araluce, Joshué Pérez Rastelli, Asier Zubizarreta
Safety and security perception in shared autonomous shuttles: a user-centred evaluation of interface design and passenger behaviour
Frontiers in Mechanical Engineering· 2026DOI
Christian Bolzmacher, Sabrina Panëels, Céphise Louison, Carlos Hidalgo, Mauricio Marcano, Sergio Diaz, Margarita Anastassova
Approach for Passive Safety Assessment of Rearward-Sitting Occupants
IEEE International Conference on Vehicular Electronics and Safety (ICVES)· 2025DOI
Ömer Dönmez, Ricardo Tejero de la Piedra, Simona Klose, Matthieu Riolet, Lukas Rozek, Ondřej Vaculín, Christian Hach
Data-Driven Vehicle Dynamics: Leveraging SINDy for Optimization-Based Vehicular Motion Planning
IEEE Access· 2025DOI
Daniel Weihmayr, Christian Birkner, Hormoz Marzbani, Reza Nakhaie Jazar
DiverSim: A Customizable Simulation Tool to Generate Diverse Vulnerable Road User Datasets
Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems· 2025DOI
Jon Iñiguez de Gordoa, Martín Hormaetxea, Marcos Nieto, Gorka Vélez, Andoni Mujika
Exploration of VLM’s for Driver Monitoring Systems Applications
· 2025DOI
Paola Natalia Cañas, Marcos Nieto, Oihana Otaegui, and Igor Rodríguez
Influence of Autonomous Vehicle Interior Design on Occupant Injuries
2025 IEEE Intelligent Vehicles Symposium (IV)· 2025DOI
Lukas Rozek, Andrew Harrison, Christian Birkner
Infrastructure-based localisation system using V2X communications
· 2025DOI
Javier Araluce, Alberto Justo, Mario Rodriguez Arozamena and Sergio Diaz
Infrastructure-Based Smart Positioning System for Automated Shuttles Using 3D Object Detection
2025 IEEE Intelligent Vehicles Symposium (IV)· 2025DOI
Javier Araluce, Alberto Justo, Mario Rodriguez-Arozamena, Joseba Sarabia, Jose Matute, Sergio Díaz
Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study
Sensors· 2025DOI
Joseba Sarabia, Mauricio Marcano, Sergio Díaz, Asier Zubizarreta, Joshué Pérez
Towards Enhanced Autonomous Driving Takeovers: Fuzzy Logic Perspective for Predicting Situational Awareness
Applied Sciences· 2025DOI
Goran Ferenc, Dragoje Timotijević, Ivana Tanasijević, Danijela Simić
vivaplus_50F_HAV_Aware2All
· 2025DOI
Harrison, A
Hands-off Parking: Deep Learning Gesture-based System for Individuals with Mobility Needs
· 2024DOI
Romera, J., Justo, A., Fidalgo, I., Araluce, J., & Pérez, J.
Occupant Simulation Data based on Honda Accord 2024 Simplified Passenger Model and Full-factorial Sampling with 243 samples and VIRTHUMAN 5, 50, 95 Percentiles
· 2024DOI
Franz Plaschkies, Sebastian Müller
AWARE2ALL human centric interaction and safety systems for increasing the share of automated vehicles
· 2023DOI
Oihana Otaegui, Lucía Sanz, Marcos Nieto, Paola Natalia Cañas, and Guillem Delgado
Dynamic Risk Assessment Methodology with an LDM-based System for Parking Scenarios
· 2023DOI
Paola Natalia Cañas, Mikel Garćıa, Nerea Aranjuelo, Marcos Nieto, Aitor Iglesias and Igor Rodríguez
Introduction to AWARE2ALL: Safety systems and human-machine interfaces oriented to diverse population towards future scenarios with increasing share of highly automated vehicles
· 2023DOI
Oihana Otaegui, Lucía Sanz, Marcos Nieto, Paola Natalia Cañas, and Guillem Delgado
Validation of critical maneuvers based on shared control
· 2023DOI
Mauricio Marcano, Joseba Sarabia, Asier Zubizarreta and Sergio Díaz
Deliverables (19)
Other Results (1)
Periodic Reporting for period 1 - AWARE2ALL (Safety systems and human-machine interfaces oriented to diverse population towards future scenarios with increasing share of highly automated vehicles)