NeuroBand is a specialized smart safety armband engineered to provide timely assistance to elderly and high-risk individuals ...

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 ...

Robotic grippers are widely utilized in industrial manufacturing, but object slippage during assembly poses challenges, including potential damage, delays, and increased costs. Therefore, early slip ...

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 ...

I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a compact, multifunctional chemical sensor that seamlessly integrates ...