Abstract: This paper presents an automated classification system for object detection in multi-LiDAR sensor networks. The system leverages a deep learning model for an initial coarse classification ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Abstract: Effective solution of foreign object detection (FOD) in the charging area is crucial for ensuring safety and efficiency in wireless charging for electric ...

Astronomers recently discovered a rare interstellar object passing through our solar system, and a Harvard physicist is sounding the alarm that its strange characteristics might indicate it’s more ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Sim-to-Real Domain Adaptation for Military Object Detection using YOLO-World. A pipeline to bridge the gap between synthetic simulation data and real-world battlefield imagery. Detectron2 ...

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...