About us

AutoTRUST is a European Union-funded project under the Horizon Europe research and innovation program. It aims to address the growing need for inclusive, accessible, and resilient mobility solutions as the world transitions to autonomous vehicles. Bringing together 16 partners from 10 countries, AutoTRUST leverages AI to create adaptive vehicle technologies that prioritize user safety, comfort, and accessibility, especially for vulnerable groups such as persons with reduced mobility. We envision a future where transportation is inclusive, seamless, and secure for all. By integrating AI-driven, self-adaptive solutions, AutoTRUST seeks to transform mobility, ensuring that everyone can experience the benefits of autonomous vehicles, regardless of ability or background. Our solutions focus on enhancing trust, security, and resilience in the interaction between users and automated transport systems.

Work Plan

Work Plan

WP1: Project Management - CERTH

  1. Perform the administrative, scientific, technical, financial, and innovation management of the project.
  2. Coordinate the contacts with the EC.
  3. Ensure that the deliverables are submitted on time and complete the project within the required time frame.
  4. Ensure the communication flow and information circulation among the partners.
  5. Monitor project activities in line with its objectives and ensure their quality.
  6. Ensure that legal issues, patents, and IPR are dealt with according to the contract and Consortium Agreement.
  7. Manage ethics.

WP2: Requirements, UCD Methodology, and Architecture Definition - UIA

  1. SoA analysis and best practice selection.
  2. Description of the architecture, use cases, and the system’s specifications.
  3. Study and specifications of the users and system-level requirements.
  4. Definition of the KPI metrics.

WP3: Advanced Monitoring System (AMS) and Data Processing - AviSense.AI

  1. Low-level processing and efficient handling of multimodal data.
  2. Development and deployment of comprehensive in-cabin monitoring and system analysis for passenger safety and comfort.
  3. Advanced external monitoring methods for scene understanding and environment understanding.
  4. Development of methods for cooperative analysis information of connected vehicles.
  5. Development to ensure security and privacy methods for sensitive data and its management.

WP4: Intelligent Personalization, Adaptation, and Virtual Assistant System (VAS) - CERTH

  1. Extraction of human factors in machine-readable architecture and target groups' characteristics analysis.
  2. Advanced vehicle technologies and solutions for personalized adaptations.
  3. Development of a virtual assistant framework.
  4. Design and development of HMI and user app interfaces.

WP5: Framework Integration, Validation, and Evaluation - UCY

  1. Integration of all sub-systems and components implemented in the previous tasks.
  2. Grounding the pilot specifications and assessment of protocols.
  3. Grounding for small-scale trials and campaigns quantification.
  4. Implementation of the final use cases and pilots.
  5. Testing and evaluation of the developed solutions and technologies, simulators, and digital twins.
  6. Validation and evaluation methods.

WP6: Dissemination of Results, Exploitation, and Standardization - PASEU

  1. Raise public awareness of project developments among key user groups, the scientific community, EU stakeholders, and the general public.
  2. Facilitate sharing of knowledge inside the Consortium.
  3. Provide market analysis, business plan, and an exploitation strategy for the project outcomes.
  4. Investigate and contribute to relevant standards.
  5. Collaborate with related European initiatives.

Objectives

  1. Develop AI-powered, self-adaptive vehicle technologies that improve accessibility, security, and user experience.
  2. Enhance inclusiveness and trust in automated transport systems, particularly for vulnerable groups.
  3. Influence the development of new standards and policies that support autonomous mobility.
  4. Foster collaboration among researchers, industries, and policymakers to drive innovation in automated transport.