AviSense.AI was selected by the EU-Japan Centre for Industrial Cooperation to participate in the EU Digital Business Mission to Japan, presenting its AI, Augmented Reality and cooperative perception technologies at CEATEC 2025 in Tokyo and engaging with the Japanese innovation ecosystem.

 The mission brought together selected European technology companies active in digital innovation, offering them the opportunity to present their solutions in Japan and explore potential business, technology and ecosystem partnerships. The mission was centred around CEATEC 2025, one of Japan’s leading exhibitions for advanced technologies, digital transformation and future society innovation. Through its participation at the EU Pavilion, AviSense had the opportunity to showcase its work to an international audience of technology stakeholders, corporates, investors, researchers and innovation ecosystem representatives.

For AviSense, this selection represented an important international milestone. It provided a strong opportunity to present the company’s deep-tech solutions beyond the European market and to explore how AI, XR and cooperative perception can support safer, smarter and more trustworthy mobility systems in global contexts.

At CEATEC, AviSense presented technologies focused on real-time situational awareness, driver assistance and intelligent mobility. These included Augmented Reality interfaces for safety-critical decision support, cost-efficient multi-sensor fusion for enhanced perception, and centimetre-level geolocation capabilities that improve how connected and semi-autonomous vehicles understand their surrounding environment.

 

AviSense’s technology transforms visual, spatial and sensor data into real-time operational intelligence. By combining Artificial Intelligence, cooperative perception, real-time localisation and XR-based visualisation, the company helps users, operators and intelligent systems detect hidden risks, understand dynamic environments and act faster with confidence.

Beyond the exhibition itself, AviSense also participated in key networking and pitching activities in Tokyo. These included engagement with the local innovation community through Venture Café Tokyo, as well as participation in the AI Saloon, where the company connected with AI experts, startup founders, academics and stakeholders interested in the future of trustworthy and explainable intelligent systems.

These interactions created valuable opportunities to exchange ideas on the future of AI-enabled mobility, human-centred automation, explainable decision support and the role of immersive technologies in safer transportation systems. They also allowed AviSense to better understand the Japanese innovation landscape and explore potential directions for international collaboration.

The Japan mission was also closely aligned with AviSense’s broader European R&D and innovation activities, including work on AI-powered, human-centred and trustworthy mobility technologies. By presenting its solutions on an international stage, AviSense strengthened its visibility as a European deep-tech company developing practical technologies for road safety, smart mobility and complex operational environments.

We would like to thank the EU-Japan Centre for Industrial Cooperation, Enterprise Europe Network Japan, CEATEC, and all mission partners and organisers for enabling this valuable international opportunity.

 

We are proud to announce that our research paper, “Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles,” was presented at the IEEE International Smart Cities Conference (ISC² 2025) — https://isc2-2025.org/.

The paper introduces an integrated simulation framework designed to evaluate the robustness of autonomous vehicles against adversarial attacks targeting perception, control, and communication layers. As autonomous driving technologies rapidly evolve, understanding how malicious interventions can affect their behavior becomes critical to ensuring the safety, reliability, and trustworthiness of AI-driven mobility systems.
Our framework bridges simulation environments, AI models, and cybersecurity analysis tools to enable reproducible experiments and stress testing under realistic conditions.
This multidisciplinary approach provides researchers and developers with a flexible testbed to explore vulnerabilities, mitigation strategies, and adaptive defense mechanisms for connected and autonomous vehicles (CAVs).

This research has been developed within the Horizon Europe project GuardAI, which focuses on building trustworthy, secure, and human-aligned AI systems for critical applications across Europe.

Presenting at ISC² 2025 provided an excellent opportunity to share our findings with the international smart cities and AI safety community, and to discuss how adversarial resilience can be integrated into next-generation mobility infrastructures.

We would like to thank our collaborators and project partners for their valuable contributions and continued support. Together, we are moving toward a safer and more resilient AI ecosystem for autonomous transportation.

Conference: IEEE International Smart Cities Conference (ISC² 2025)
Paper: Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
Funding: Horizon Europe Project GuardAI
More information: https://isc2-2025.org/

AviSense.AI was selected as part of the XRive project in XR2Learn Open Call #2 and presented its XR-based mobility and driver awareness solutions at SPS Italia 2025 in Parma through the EIT Manufacturing ecosystem.

XRive brings together Enebula, AviSense.AI technovlastos P.C. and InterMediaKT – Interactive Media Knowledge Transfer, combining expertise in Extended Reality, Artificial Intelligence, human-machine interaction, user-centred training and inclusive mobility.

The project addresses an important challenge in the transition towards connected, automated and intelligent vehicles: drivers and end users need to better understand, trust and effectively interact with increasingly advanced in-car systems, including Advanced Driver Assistance Systems, Human-Machine Interfaces and automated driving features.

Through XRive, the consortium explores how Extended Reality can support safer and more intuitive driver training. The project focuses on immersive XR tools that help users familiarise themselves with modern vehicle technologies, understand advanced driving assistance functions and experience realistic safety scenarios in a controlled environment.

This approach is closely aligned with AviSense’s broader mission: to transform visual, spatial and sensor data into real-time operational intelligence that improves safety, trust and decision-making in mobility and complex environments.

As part of the XR2Learn and EIT Manufacturing ecosystem, AviSense also had the opportunity to present its solutions at SPS Italia 2025 in Parma, one of the leading European events for smart, digital and sustainable industrial automation. The event brought together industry stakeholders, technology providers, startups, researchers and innovation actors working on the future of manufacturing, AI, robotics, digitalisation and Industry 5.0.

At SPS Italia, AviSense presented its XRive-related work and demonstrated how XR, AI and cooperative perception can be used not only for advanced mobility applications, but also as part of a broader movement towards human-centred, interactive and adaptive learning technologies.

The participation provided valuable exposure to the European manufacturing and industrial innovation ecosystem, enabling AviSense to connect with stakeholders interested in XR training, human-centred automation, digital transformation and applied AI solutions.

We are thrilled to share that a team of graduate and undergraduate students from the Electrical and Computer Engineering Department of the University of Patras—proudly sponsored by Avisense.AI—has won the 2025 Best SIC Innovation Challenge Award at the prestigious IEEE Worldhaptics Conference, held in Suwon, South Korea (July 8–11).

Among the groundbreaking innovations presented was a project titled “Optimizing Take-Over Requests in Autonomous Vehicles through Haptic Feedback”, directly aligned with Avisense.AI’s mid-term research and development objectives in human-machine interaction and future mobility.

This achievement reflects our strong commitment to empowering the next generation of engineers and researchers. With three of our current full-time team members being graduates of the University of Patras’ ECE department—alongside talent from other leading institutions—we are proud to continue supporting students with high-impact ideas and strong research potential.

Read more on LinkedIn

 

We are proud to announce that Avisense.AI participated in the prestigious IEEE International Conference on Multimedia & Expo (ICME) 2025, held in Nantes, France, from June 29 to July 4. Our team had the honor of presenting two peer-reviewed papers at the 3D Multimedia Analytics, Search and Generation Workshop, both accepted for oral presentation a significant milestone that highlights the impact of our research in the field of autonomous systems and multimodal analytics.

Advancing Multi-Object Tracking with Graph Signal Processing

Maria Damanaki presented our work titled
“Optimizing Cooperative Multi-Object Tracking using Graph Signal Processing”,
co-authored by Nikos Piperigkos, Alexandros Gkillas, and Aris Lalos.

In this paper, we propose a novel cooperative multi-object tracking (MOT) framework for 3D LiDAR scenes. The approach formulates and solves a graph topology-aware optimization problem to intelligently fuse data from multiple vehicles. Leveraging a fully connected graph topology defined over detected bounding boxes, we apply Graph Laplacian Processing to smooth positional errors and enhance detection fusion.

This results in robust object association and improved tracking accuracy across agents. The framework was rigorously evaluated on the V2V4Real dataset, significantly outperforming baseline and state-of-the-art methods, including DMSTrack and V2V4Real’s internal baselines.

Redefining LiDAR Efficiency with Guided Super-Resolution

Nikos Piperigkos presented the second paper, titled
“Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive Scene Segmentation”,
co-authored by Alexandros Gkillas and Aris Lalos.

This work introduces the first end-to-end framework that integrates LiDAR super-resolution (SR) with scene segmentation. By jointly optimizing both tasks during training, our method ensures that the SR network is guided semantically by the segmentation process, preserving important structural details—especially for smaller object classes.

Key innovations include a lightweight, model-based SR architecture with a novel loss function focused on regions of interest. The framework achieves segmentation performance comparable to high-resolution 64-channel LiDAR setups, but with dramatically lower computational cost and fewer parameters.

Best Presentation Award

We are especially proud to share that Nikos Piperigkos received the Best Presentation Award for his excellent delivery and impactful research contribution.

 

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A heartfelt thank you to the ICME 2025 organizers and the vibrant research community that continues to push the boundaries of AI, multimedia processing, and autonomous systems. Events like ICME foster collaboration, innovation, and the exchange of ideas that shape the future of intelligent perception.

Stay tuned as we continue our mission at Avisense.AI to transform advanced research into scalable, real-world solutions.