Next Generation Visuo-Haptic Media for Inclusive Immersive Reality
Acronym: XR-SENSE
Duration: 36 months
Timeline: 2026–2029
Project Type: European Research Project
Funding Agency: Horizon Europe
Grant Number: 101297892
Call: HORIZON-CL4-2025-03-HUMAN-14
XR-SENSE is a European Union-funded project under the Horizon Europe research and innovation programme, bringing together a multidisciplinary consortium of partners from academia, research, industry and technology providers.
The main objective of XR-SENSE is to develop next-generation visuo-haptic media technologies for inclusive immersive reality. The project focuses on enabling realistic, interactive and accessible XR experiences by combining advanced multimodal sensing, scene analysis, reconstruction, adaptive coding, low-latency streaming, interactive rendering, haptic feedback and human-centred XR interaction.
The initiative aims to overcome key limitations of current XR systems, including limited realism, high latency, poor synchronization between visual and haptic content, lack of scalable multimodal streaming, and insufficient consideration of human perception, trust, accessibility and inclusion. XR-SENSE will develop a modular technology framework integrating xSense, xStream and xHuman components, validated through demanding pilots in connected and autonomous vehicles, remote collaborative surgery, and immersive XR broadcasting.
In the XR-SENSE project, AviSense plays a key role in the connected mobility pilot, jointly leading Pilot 1 with IDNEO, which focuses on Connected and Autonomous Vehicles. AviSense contributes its expertise in AI-based scene understanding, multimodal sensing, cooperative perception, occlusion-aware perception, XR visualisation and safety-critical mobility applications.
AviSense is responsible for supporting the definition and validation of mobility-related XR scenarios, including collaborative awareness through XR overlays of occluded objects and XR-space remote co-pilots for social telepresence and infotainment. Through XR-SENSE, AviSense will help transform distributed vehicle and infrastructure sensing into real-time, explainable and visuo-haptic XR information for drivers, passengers and remote users, supporting safer, more inclusive and more immersive connected mobility experiences.
Inclusiveness and Trust in the Interaction Between Users and new Automated Modes of Road Transport and Mobility Services
Acronym: AutoTRUST
Duration: 36 months
Timeline: 2024-2027
Project Type: European Research Projects
Funding Agency: Horizon 2020
Website: https://autotrust-he.eu/
AutoTRUST is a Horizon Europe research and innovation project focused on developing trustworthy, inclusive, and user-centric technologies for Connected, Cooperative and Automated Mobility (CCAM). The project brings together a multidisciplinary consortium of industrial, research, academic, and end-user partners to improve safety, comfort, accessibility, and trust in automated vehicles and future mobility services.
The main objective of AutoTRUST is to develop an AI-enabled self-adaptive framework that enhances the onboard experience of passengers and supports personalized, inclusive, and resilient automated mobility. The project combines advanced internal and external monitoring, multimodal sensing, cooperative situational awareness, in-cabin personalization, virtual assistant technologies, human–machine interfaces, and user-centered design methodologies. These technologies are validated through multiple pilots addressing public transport, autonomous mobility services, industrial vehicles, and vulnerable user groups.
Occlusion-Aware Cooperative Perception and AR-Powered Situational Awareness for Safer Urban Mobility
Acronym: XRay-Mobility
Duration: 9 months
Timeline: 2025–2026
Project Type: European Research Project / SNS JU Large-Scale Trials and Pilots
Funding Agency: Smart Networks and Services Joint Undertaking under Horizon Europe
Website: https://6gpath.eu/
6G-PATH is a European Union-funded project under the Smart Networks and Services Joint Undertaking, aiming to accelerate the validation and adoption of Beyond 5G and 6G technologies through large-scale pilots and trials across Europe.
The main objective of 6G-PATH is to foster the development, integration, and validation of new tools, services, and applications using 5G/6G infrastructures, while measuring both technical Key Performance Indicators and broader Key Value Indicators. The project includes multiple advanced testbeds and supports innovative use cases through Open Calls, enabling SMEs, startups, research organisations, and technology developers to deploy and evaluate their solutions in realistic networked environments.
Within 6G-PATH Open Call #2, AviSense participates with XRay Mobility, an occlusion-aware cooperative perception and AR-powered situational awareness system for safer urban mobility. The use case is aligned with the Smart City vertical and focuses on V2X sensing and communication. XRay Mobility uses distributed camera infrastructure, edge-based AI processing, multi-camera perception, and AR visualization to help road users and operators perceive hazards that are normally hidden due to buildings, parked vehicles, vegetation, or complex urban layouts.
AviSense is responsible for developing and validating the XRay Mobility platform, including the map-based operational dashboard, camera ingestion, AI-based detection of vehicles and pedestrians, geolocated event alerts, lightweight multi-camera association, occupancy and traffic analytics, and AR-ready visualization of static and dynamic situational awareness information.
AviSense aims to advance XRay Mobility from a prototype platform towards a validated smart-city service, demonstrating its potential for cooperative perception, infrastructure-assisted hazard awareness, and AR-based field guidance in urban environments. The project provides AviSense with access to advanced 5G/6G testbed infrastructure, technical support, KPI/KVI evaluation methodology, and a European ecosystem of telecom, research, and smart-city stakeholders.
Transformative Responsible Uptake & Systemic Trust for AI in Mobility
Acronym: TRUST-AI
Duration: 12 months
Timeline: 2025–2026
Project Type: European Cascade Funding / ORRI Incubator Project
Funding Agency: REINFORCING – Responsible Digitalisation / European Union
Website: https://www.reinforcing.eu/
TRUST-AI is a European Union-funded project supported through the REINFORCING ORRI Incubator programme, bringing together two Greek partners: AviSense.ai and InterMediaKT. The project focuses on embedding Open and Responsible Research and Innovation (ORRI) principles into the design, development, and governance of AI-enabled mobility systems, with particular emphasis on Human-in-the-Loop Advanced Driver Assistance Systems (ADAS) and AR-based driver support technologies.
The main objective of TRUST-AI is to move beyond high-level ethical declarations and translate responsible AI principles into practical engineering, governance, and stakeholder engagement mechanisms. The project develops ethical and operational guidelines for AI-supported ADAS functions, addressing key issues such as explainability, driver override, consent, data governance, uncertainty communication, fairness, and accountability. These guidelines are aligned with emerging EU AI Act requirements and GDPR principles.
A core part of the project is the use of realistic mobility use cases, including cognitive readiness assessment and AR-based occlusion-aware situational awareness, to explore how AI systems should communicate information to drivers, preserve human agency, avoid over-reliance, and prevent misleading or intrusive system behaviour. Through participatory workshops, scenario cards, voting scales, and a Deliberative Digital Panel, citizens and experts contribute to defining acceptable boundaries and “red lines” for responsible AI intervention in mobility.
In TRUST-AI, AviSense plays the key technical role, leading the responsible AI and ADAS-related work. The company is responsible for mapping Human–AI interaction flows, analysing data and decision chains, developing the ethical and operational guidelines, preparing use case material, and translating stakeholder feedback into concrete design and governance requirements. AviSense also contributes to the development of the internal ORRI strategy, the Responsible Design Toolkit for AI engineers, and the evaluation framework.
Enhancing Driver Safety with Extended Reality
Acronym: XRive
Duration: 12 months
Timeline: 2025-2026
Project Type: Cascade Funding
Funding Agency: Horizon 2020
Website: https://xr2learn.eu/meet-open-call-2-winner-xrive/
The XRive project focuses on using Extended Reality (XR) to significantly improve driver safety, awareness, and trust in Connected and Automated Vehicles (CAVs).
By developing an immersive and interactive XR platform, XRive aims to train drivers to better understand and interact with advanced in-vehicle technologies and HMIs.
The project incorporates a human-in-the-loop approach, gathering user feedback to help automotive manufacturers design more intuitive and effective systems.
Ultimately, XRive seeks to reduce accidents, accelerate the adoption of CAVs, and benefit diverse stakeholders including drivers, manufacturers, insurance companies, and safety authorities, contributing to a safer and more efficient future of mobility.
Enhanced Driver Awareness through Cooperative XR Technologies
Acronym: SafeDriveXR
Duration: 6 months
Timeline: 2025
Project Type: Cascade Funding
Funding Agency: 6G-XR Vertical Replicability Enablers Open Call (OC3)
Website: https://6g-xr.eu/open-calls/oc3/
With the recent technological breakthroughs in connected and semi-automated transport, there is no doubt that a shared vision for a large-scale deployment of Cooperative Intelligent Transport Systems (C-ITS) in the European Union exists.
Connected and Automated Vehicles (CAVs) are expected to be the cornerstone of tomorrow’s EU-envisioned envisioned Cooperative, Connected, and Automated Mobility (CCAM), being able to extend their perception capabilities beyond the range of individual sensors, boosting the drivers’ situational awareness and enhancing performance, safety and comfort.
Equally importantly, 5/6G-enabled vehicular networks are expected to minimize network latency and delay, provide critical information regarding the environment, in a timely manner, and meet human reaction times in visual feedback.
In this framework, AviSense developed a new 5/6G-enabled paradigm incorporating multiple heterogeneous devices that cooperate to provide drivers with highly interactive eXtended Reality (XR) interfaces and tools for real-time visualizations of traffic, road conditions, and obstacles, helping them to improve decision-making, reduce response times to hazards, and increase overall road safety.
This will be achieved by novel distributed and cooperative signal processing and learning approaches integrated over the cloud edge continuum, capitalizing dynamic 5/6G-enabled cloud-to-edge services across the vehicular network.
These will enable the accurate identification of user situational awareness of different critical situations and the correct and timely detection of road obstacles, vehicles, and Vulnerable Road Users (VRUs).
The novel strategies for service component distribution and intelligent coordination will significantly reduce communication latencies, meeting human reaction time in visual XR feedback.
The use of XR interfaces and QoE evaluation methodologies will boost personalization & adaptation of the rendered information based on user context.
ESA BIC Greece Incubation
Acronym: ESA BIC
Duration: 18 months
Timeline: 2024-2025
Project Type: Business Incubation Center
Funding Agency: ESA
Website: https://esa-bic.gr/avisense/
AviSense’s solutions enhance the safety and efficiency of (semi)-autonomous vehicles by combining data (maps, satellite data, location information, etc.) with AI-driven scene understanding, perception and highly precise localization capabilities on a global scale.
We provide comprehensive solutions that enable real-time 4D location awareness of neighboring road agents, increasing significantly safety, energy efficiency reduction, driver situational awareness, and passenger experience.
5G Intelligent Automotive Network Applications Open Call #2
Acronym: 5G-IANA OC2
Duration: 6 months
Timeline: 2024
Project Type: Cascade Funding
Funding Agency: EU Horizon 2020
Website: https://www.5g-iana.eu/get-involved/open-call-2/
The 5G-IANA project, funded by the European Union’s Horizon 2020 research and innovation programme, launched its second Open Call to support European SMEs and start-ups in developing and testing innovative automotive network applications using 5G technology.
This initiative aimed to provide participants with access to the 5G-IANA platform, enabling them to experiment with 5G-enabled communication systems and integrate their solutions into a cutting-edge 5G ecosystem.
Through this Open Call, selected applicants received mentorship and technical support to build their experiments and position themselves within the 5G landscape. The program emphasized fostering innovation in the automotive sector by leveraging 5G capabilities, there by contributing to the advancement of connected and autonomous vehicle technologies
In the 5G-IANA project, AviSense designed, implemented, and deployed advanced Cooperative Localization and Crossview Geolocalization systems aimed at significantly enhancing situational awareness for Connected and Automated Vehicles (CAVs) by leveraging the low-latency, high-bandwidth capabilities of 5G networks.
These systems were tested in realistic and challenging deployment scenarios, demonstrating high-accuracy performance, efficient sensor data integration, and pushing forward the technological maturity of our perception and localization solutions.
A Comprehensive Trustworthy Framework for Connected Machine Learning and Secure Interconnected AI Solutions
Acronym: Coevolution
Duration: 36 months
Timeline: 2024-2027
Project Type: European Research Projects
Funding Agency: Horizon 2020
Website: https://coevolution-project.eu/
Coevolution is a European Union-funded project under the Horizon Europe research and innovation program, bringing together 15 partners from various countries.
The main objective is to focus on establishing a comprehensive security and risk assessment process for AI models throughout their lifecycle, ensuring security-by-design under various paradigms (single, collaborative, or interconnected AI agents). A Security, Trust, and Robustness Defense Framework will be developed to align with EU AI regulations.
The initiative aims to create a CoEvolution hub for secure AI supply chains, validated through complex pilots, and culminate in a sustainable business plan. In the Coevolution project, AviSense plays a key role as the leader of WP6, overseeing multiple technical tasks and co-leading the automotive pilot alongside AVL.
The company is responsible for developing adversarial attack strategies and designing robust defense mechanisms for both single-agent and collaborative perception scenarios in autonomous systems.