Abstract: In light of this complex information for programming environments, this paper explores how effectiveness in Large Language Models and concepts from Retrieval-Augmented Generation can be used ...
Abstract: To tackle the challenges of false positives and missed detections caused by dense occlusions and small objects in complex road settings, this paper presents an enhanced YOLOv8-based model ...