A Game-Theoretic Technology for Protecting Control Systems against Cyber-Attacks
The proposed technology solution provides an early detection of cyber-attacks that aim to take over control systems, through ensuring the consistency of the measurement and control signals in the control system.
3S Tunnel Defect Inspector
The world’s first tunnel inspection drone with on-board AI technology using edge computing device for efficient and automatic real-time tunnel defect inspection. It can work efficiently under circumstances of no GPS signal and low light, minimising human errors and reducing safety risks of traditional manual tunnel inspection methods.
Development of Autonomous Vehicle Active Safety Control System Based on Roadside LiDAR and V2X Communication
Due to limitations of autonomous vehicles' sensing and perception system, such as limited detection range and sensor blind spots, their ability to respond to unexpected situations is concerned. An active and cost-effective safety control system with roadside LiDAR based on perception system is necessary for the commercialisation of autonomous vehicles.
OmniTap: Universal Capture and Translation of ICS Communication
OmniTap provides universal capture and translation of both modern and legacy industrial control systems communication, enabling cybersecurity sensors to be deployed within any ICS environment.
Ostendo’s Wearable Displays to Support DoD Training, Operations, and Rapid Sustainment
Ostendo Technologies has created the world's only full color micro, single aperture micro-scale pixels display specifically for smart glasses that wirelessly connect to existing enterprise devices. This is not an incremental innovation - it’s a radical solution.
A multimodal intelligence-based mixed reality system for mutual cognitive human-robot collaboration
This innovation technology provides a reliable and efficient intelligent system for intuitive human-robot collaboration in many flexible manufacturing applications. It can achieve accurate holistic scene understanding of human intention, robot status, object and working environment; safe human-robot interactions with adaptive strategies; and vision-based cognitive human-robot planning.
AI-empowered chest X-ray (CXR) and CT quantitative analysis for COVID-19 patient management
Deep learning methods of multiple novel AI-empowered techniques tailored for COVID-19 clinical applications are developed, including AI-empowered chest X-ray imaging, AI-assisted image segmentation, quantitative analysis, and prognostic prediction. It provides an accurate and low-cost imaging method for diagnosing, assessing and monitoring COVID-19.
Smart Work Zone System
Improved roadside work-zone safety requires early detection and informing workers and drivers of dangers. Virginia Tech researchers developed a Smart Work Zone System that communicates between vehicles, road-worker smart vests, and safety cones. Motorists receive information about work zones and worker locations, while the vests alert workers of potential collisions.
A Wearable Computing Cluster and Platform for Multi-agent Cyberphysical Systems
A search-and-rescue backpack that consists of a scalable array of computers allowing human searchers to offload heavy computation from UAV systems while providing supercomputing abilities for Deep Learning. The system is rugged, scalable, and weatherproof and provides enhanced environment sensing capabilities with real-time feedback for the human searcher