4 papers
LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models
Saleemullah Memon, Ali Krayani, Pamela Zontone +3
Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous…
Flying by Inference: Active Inference World Models for Adaptive UAV Swarms
Kaleem Arshid, Ali Krayani, Lucio Marcenaro +2
This paper presents an expert-guided active-inference-inspired framework for adaptive UAV swarm trajectory planning. The proposed method converts multi-UAV trajectory design from a…
Active Inference-Driven World Modeling for Adaptive UAV Swarm Trajectory Design
Kaleem Arshid, Ali Krayani, Lucio Marcenaro +2
This paper proposes an Active Inference-based framework for autonomous trajectory design in UAV swarms. The method integrates probabilistic reasoning and self-learning to enable di…
Bayesian Active Inference for Intelligent UAV Anti-Jamming and Adaptive Trajectory Planning
Ali Krayani, Seyedeh Fatemeh Sadati, Lucio Marcenaro +1
This paper proposes a hierarchical trajectory planning framework for UAVs operating under adversarial jamming conditions. Leveraging Bayesian Active Inference, the approach combine…