Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.

Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...

在《ROS2下编写orbbec相机C++ package并Rviz显示》的基础上，继续添加对获取的图像使用YOLO进行目标检测首先安装YOLO以及相关库pip3 install ultralytics "跟着LitchiCheng一起学ROS2"系列共25篇，查看全部系列文章，在【EEWorld-论坛】搜关键词“一起学ROS2"，与原作者一起交流。指定依赖项 rclpy（ROS 2 Python ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

Alphabet’s Intrinsic robotics unit moves into Google, linking DeepMind, Gemini, and Cloud to speed physical AI deployments in factories and logistics.

Description Tensorflow Object Detection API is the easy to use framework for creating a custom deep learning model that solves object detection problems. If you already have your own dataset, you can ...

Abstract: The loss function and feature extraction framework are essential parts of the algorithm design and significantly affect the accuracy of oriented object detection in remote sensing images.

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 ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

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 ...