5 papers
Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Driving
Mehdi Azarafza, Faezeh Pasandideh, Ali Ehteshami Bejnordi +2
Autonomous vehicles require robust perception and decision-making capabilities to operate in diverse and unseen scenarios. While reinforcement learning and rule-based methods can p…
Hardware Utilization and Inference Performance of Edge Object Detection Under Fault Injection
Faezeh Pasandideh, Mehdi Azarafza, Achim Rettberg
As deep learning models are deployed on resource constrained edge platforms in autonomous driving systems, reli able knowledge of hardware behavior under resource degradation becom…
Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic Reasoning
Mehdi Azarafza, Mojtaba Nayyeri, Faezeh Pasandideh +2
Autonomous UAV operation necessitates reliable mathematical reasoning for tasks such as trajectory planning and power management. While traditional flight control relies on hardcod…
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava
Mehdi Azarafza, Fatima Idrees, Ali Ehteshami Bejnordi +3
Traffic Sign Recognition (TSR) detection is a crucial component of autonomous vehicles. While You Only Look Once (YOLO) is a popular real-time object detection algorithm, factors l…
Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving
Mehdi Azarafza, Mojtaba Nayyeri, Charles Steinmetz +2
Large Language Models (LLMs) have garnered significant attention for their ability to understand text and images, generate human-like text, and perform complex reasoning tasks. How…