3 papers
cs.CV2026
Swapping Faces, Saving Features: A Dual-Purpose Pipeline for Pedestrian Privacy in ITS
Roba H. Farouk, Catherine M. Elias
Large-scale and diverse datasets are needed to train AI models to take real-time decisions for autonomous vehicles (AVs), an intelligent transportation system (ITS) application. Pe…
cs.AI2026
INTENT: An LSTM Framework for Vehicle Intention Prediction in Intersection Scenarios with Comprehensive Ablation Analysis
Logine M. Zaki, Catherine M. Elias
Vehicle intention prediction is a pivotal aspect in the agility and safety of autonomous vehicles in all driving scenarios; if genuine enhancement of autonomous vehicles are requir…
cs.CV2026
VIT-Ped: Visionary Intention Transformer for Pedestrian Behavior Analysis
Aly R. Elkammar, Karim M. Gamaleldin, Catherine M. Elias
Pedestrian Intention prediction is one of the key technologies in the transition from level 3 to level 4 autonomous driving. To understand pedestrian crossing behaviour, several el…