Objective
The automotive industry is undergoing a revolutionary transformation with the rapid development of autonomous driving technologies. According to the European Commission's Strategy on Sustainable and Smart Mobility, more than 50% of new vehicles sold in the EU by 2030 are expected to feature advanced driver-assistance systems (ADAS) or full autonomous capabilities. This project focuses on the critical need for robust pedestrian understanding systems in autonomous vehicles by developing an advanced multimodal perception framework that significantly improves detection accuracy, behavior prediction, and safety in complex urban environments. Specially for the following key technical challenges: optimizing the multi-sensor fusion process to reduce feature redundancy while enhancing representation learning; expanding perception systems to incorporate rich semantic scene understanding for better contextual awareness; and developing defense mechanisms against adversarial attacks that could compromise system reliability. The proposed solution integrates cutting-edge deep learning techniques, including transformer-based architectures for efficient feature extraction, multi-task learning paradigms for simultaneous detection and prediction tasks, and adversarial training methods to enhance system robustness. The project's interdisciplinary approach, combining computer vision, machine learning, and transportation safety expertise, positions it to make significant contributions to both academic research and industrial applications in the emerging field of intelligent transportation systems. The expected results will significantly enhance the safety and reliability of autonomous vehicles in pedestrian-rich environments, contributing to the broader development of safer autonomous driving technologies. These advancements will support ongoing EU efforts to promote autonomous driving and build public trust in these systems.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering automotive engineering autonomous vehicles
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
EX4 4QJ Exeter
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.