Can I read Pothole and Object Detection for an Autonomous Vehicle Using YOLO on EtoBox?

Pothole and Object Detection for an Autonomous Vehicle Using YOLO by Kavitha R; Nivetha S is a scholarly article available to read on EtoBox.

What is Pothole and Object Detection for an Autonomous Vehicle Using YOLO about?

Object Detection is an key software and a fundamental task for an autonomous driving system that provides remarkable change in computer vision. İn recent years, company's are planning to launch autonomous vehicle in an full swing that's the most important ascpets for object detection and one of most challenging task for locating specific object from from multiple objects in a specific scenario. The computer vision and machine learning algorithm is the important tool for detecting objects in and around the environment.In this paper, which consists of two parts The first part is implemented on object detection in the surrounding with Yolo (You Only Look Once)Algorithm provides exact classification and position which is configured on newly created datasets for classes of object: a car, a person, a truck, a bus, traffic light, motorcycle, pothole, wetland uses the Convolutional Neural Network and max-polling layer for prediction that improves detecting of small target and these deep learning technique provides a high accuracy for detecting real world. Detecting potholes in Indian road help the autonomous vehicle to move smoothly without getting struck in the potholes.In part two of the

Author

Kavitha R; Nivetha S

Publisher

IEEE

Published

2021

Language

EN