8 papers
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3
Intelligent Transportation Systems (ITS) demand real-time collision prediction to ensure road safety and reduce accident severity. Conventional approaches rely on transmitting raw…
A Lightweight Digital-Twin-Based Framework for Edge-Assisted Vehicle Tracking and Collision Prediction
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3
Vehicle tracking, motion estimation, and collision prediction are fundamental components of traffic safety and management in Intelligent Transportation Systems (ITS). Many recent a…
Semantic Edge-Cloud Communication for Real-Time Urban Traffic Surveillance with ViT and LLMs over Mobile Networks
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3
Real-time urban traffic surveillance is vital for Intelligent Transportation Systems (ITS) to ensure road safety, optimize traffic flow, track vehicle trajectories, and prevent col…
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles
Murat Arda Onsu, Poonam Lohan, Burak Kantarci
The evolution of Artificial Intelligence (AI) and its subset Deep Learning (DL), has profoundly impacted numerous domains, including autonomous driving. The integration of autonomo…
Leveraging Multimodal-LLMs Assisted by Instance Segmentation for Intelligent Traffic Monitoring
Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3
A robust and efficient traffic monitoring system is essential for smart cities and Intelligent Transportation Systems (ITS), using sensors and cameras to track vehicle movements, o…
Integrating Language Models for Enhanced Network State Monitoring in DRL-Based SFC Provisioning
Parisa Fard Moshiri, Murat Arda Onsu, Poonam Lohan +2
Efficient Service Function Chain (SFC) provisioning and Virtual Network Function (VNF) placement are critical for enhancing network performance in modern architectures such as Soft…