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.

ABSTRACT: Road surface defects such as potholes and cracks pose significant risks to traffic safety and vehicle integrity. Traditional inspection methods, including manual surveys and citizen reports, ...

College of Robotics, Guangdong Polytechnic of Science and Technology, Zhuhai, Guangdong, China To address the issues of low detection accuracy and poor real-time performance in existing methods for ...

College of Information Science and Technology, Nanjing Forestry University, Nanjing, China Introduction: Wheat is a vital global staple crop, where accurate ear detection and counting are essential ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel ...

This project implements a robust YOLOv8 object detection model for identifying critical objects in space station environments using synthetic data from Duality AI's Falcon digital twin platform. The ...

This repository contains a web application for real-time object detection using the state-of-the-art YOLOv8 (You Only Look Once version 8) model. The application is ...