4 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…
LLM-Generated Fault Scenarios for Evaluating Perception-Driven Lane Following in Autonomous Edge Systems
Faezeh Pasandideh, Achim Rettberg
Deploying autonomous vision systems on edge devices faces a critical challenge: resource constraints prevent real-time and predictable execution of comprehensive safety tests. Exis…
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…