RoadNet: Efficient Model to Detect and Classify Road Damages
نویسندگان
چکیده
Poorly maintained roads can cause lethal automobile accidents in various ways. Thus, detecting and reporting damaged parts of is one the most crucial road maintenance tasks, it vital to identify type severity damage help fix as soon possible. Several researchers have used computer vision detection algorithms detect classify damages, including cracking, distortion, disintegration. Providing automatic methods municipalities save time effort speed up operations. This study proposes a method its based on CNN trained newly curated dataset collected from Saudi roads. Hence, this also presents with labeled classes, which are cracks, potholes, depressions, shoving. The was collaboration employees municipality Rabigh Governorate using smartphone device reviewed by experts. In addition, several deep learning were implemented evaluated proposed dataset. found that custom (RoadNet) has higher accuracy than pre-trained models.
منابع مشابه
A Business Model to Detect Disease Outbreaks
Introduction: Every year several disease outbreaks, such as influenza-like illnesses (ILI) and other contagious illnesses, impose various costs to public and non-government agencies. Most of these expenses are due to not being ready to handle such disease outbreaks. An appropriate preparation will reduce the expenses. A system that is able to recognize these outbreaks can earn ...
متن کاملInformation fusion to detect and classify pedestrians using invariant features
Article history: Received 4 February 2009 Received in revised form 14 April 2010 Accepted 15 June 2010 Available online xxxx
متن کاملLearning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious executables and encoded each as a training example using n-grams of byte codes as features. Such processing resulted in more than 255 million distinct n-grams. After selecting the most relevant n-grams for prediction, we ev...
متن کاملIntegrating Fuzzy Inference System, Image Processing and Quality Control to Detect Defects and Classify Quality Level of Copper Rods
Human-based quality control reduces the accuracy of this process. Also, the speed of decision making in some industries is very important. For removing these limitations in human-based quality control, in this paper, the design of an expert system for automatic and intelligent quality control is investigated. In fact, using an intelligent system, the accuracy in quality control is increased. It...
متن کاملA Simple Analytic Method to Model and Detect Non-Uniform Air-Gaps in Synchronous Generators
The air-gap of electrical machines may become non-uniform due to low accuracy of the manufacturing machinery, in assembling processes, or by aging. Detection and monitoring of this phenomenon is very important and of interest. There are several methods to model non-uniform air-gaps and to detect them by monitoring systems. One of the most widely used methods is by the analysis of the line curre...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied sciences
سال: 2022
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app122211529