Search Results - (( developing learning road algorithm ) OR ( java implication based algorithm ))

Search alternatives:

Refine Results
  1. 1
    Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm

    Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm by Sophian, Ali, Azmi, Nur Hanisah, Bawono, Ali Aryo

    Published 2021
    “…In this work, preliminary study of the implementation of one of the latest deep learning algorithms, i.e. YOLOv5, has been carried out in the detection and classification of missing road lane markings. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  2. 2
    Potholes detection using UAV with deep learning algorithm for road inspection / Nur Sabrina Irwayu Abdul Sukor

    Potholes detection using UAV with deep learning algorithm for road inspection / Nur Sabrina Irwayu Abdul Sukor by Abdul Sukor, Nur Sabrina Irwayu

    Published 2024
    Get full text
    Get full text
    Student Project
    Save to List
    Saved in:
  3. 3
    Recognising Malaysia traffic sign with rain drop disturbance using deep learning

    Recognising Malaysia traffic sign with rain drop disturbance using deep learning by Pang, Wan Chee

    Published 2022
    “…Other than the driver's carelessness, weather such as rain might challenge the visibility and recognition of the traffic signs. Hence, we develop a road sign recognition system based on a deep learning algorithm that can identify the Malaysia traffic sign with raindrop disturbance. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  4. 4
    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques

    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques by Mohammad Syawaludin Syafiq, Hassan

    Published 2016
    “…In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Computer vision based traffic signs recognition system / Edwind Liaw Yee Kang

    Computer vision based traffic signs recognition system / Edwind Liaw Yee Kang by Edwind , Liaw Yee Kang

    Published 2017
    “…In order to minimize the said chances, a computer vision based traffic signs detection and recognition system is proposed and developed. The machine learning algorithm, cascaded classifier based on Haar-like features is adopted to develop the traffic signs detection and recognition system. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Modeling of road geometry and traffic accidents by hierarchical object-based and deep learning methods using laser scanning data

    Modeling of road geometry and traffic accidents by hierarchical object-based and deep learning methods using laser scanning data by Sameen, Maher Ibrahim

    Published 2018
    “…This study aims to develop methods to extract geometric road features (e.g., vertical gradients, superelevation, width, design speed) and establish associations between those features and road traffic accidents including frequency and accident severity. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Predicting serious injuries due to road traffic accidents in Malaysia by means of artificial neural network

    Predicting serious injuries due to road traffic accidents in Malaysia by means of artificial neural network by Nurul Qastalani, Radzuan, Mohd Hasnun Ariff, Hassan, Anwar, P. P. Abdul Majeed, Rabiu Muazu, Musa, Mohd Azraai, M. Razman, Khairil Anwar, Abu Kassim

    Published 2020
    “…This study attempts to employ Artificial Neural Networks (ANN), a machine learning algorithm, to predict the number of serious injury cases in Malaysia based on the road traffic accident data of the past 20 years. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  8. 8
    Forecasting road deaths in Malaysia using support vector machine

    Forecasting road deaths in Malaysia using support vector machine by Nurul Qastalani, Radzuan, Mohd Hasnun, Arif Hassan, Anwar P.P., Abdul Majeed, Rabiu Muazu, Musa, Khairil Anwar, Abu Kassim

    Published 2020
    “…This study proposes a new approach in forecasting the road deaths, by means of a machine learning algorithm known as Support Vector Machine. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Vehicle Detection in Deep Learning

    Vehicle Detection in Deep Learning by Teoh, Per Nian

    Published 2019
    “…The objective of this project is vehicle detection with deep learning, so, vehicles data set from highway, urban road and housing area had been collected and applied to the deep learning and computer vision algorithms. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  10. 10
    Active force control with iterative learning control algorithm for a vehicle suspension

    Active force control with iterative learning control algorithm for a vehicle suspension by Rosmazi, Rosli

    Published 2013
    “…The research focuses on the application of an active force control (AFC) strategy with iterative learning control (ILC) algorithms to compensate for the various introduced road profiles or 'disturbances' in a quarter car suspension system as an improvement to ride comfort performance. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Real-Time Traffic Sign Detection And Recognition Using Raspberry Pi

    Real-Time Traffic Sign Detection And Recognition Using Raspberry Pi by Md Isa, Ida Syafiza, Choy, Ja Yeong, Mohd Shaari Azyze, Nur Latif Azyze

    Published 2022
    “…TensorFlow algorithm has been considered in this work for object recognition through machine learning due to its high accuracy. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics

    Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics by Anuar, Wadi Khalid

    Published 2022
    “…These two models are derived from the Multi Depot Vehicle Routing Problem with Stochastic Road Capacity (MDVRPSRC-2S) which is proposed next to the deterministic model of Multi Depot Vehicle Routing Problem with Road Capacity (D-MDVRPRC) stemming from the preliminary research, prior to the development of MDDVRPSRC model. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Real Time Traffic Sign Recognition using Deep Learning

    Real Time Traffic Sign Recognition using Deep Learning by Sarmindaran Naidu a/l Siva Kumar

    Published 2023
    Save to List
    Saved in:
  14. 14
    Enhancing driving safety and environmental consciousness through automated road sign recognition using convolutional neural networks

    Enhancing driving safety and environmental consciousness through automated road sign recognition using convolutional neural networks by Md Fauadi, Muhammad Hafidz Fazli, Yaakop, S. N., Md Ali, Mohd Amran, Abdullah, Lokman

    Published 2024
    “…This study explores the application of Convolutional Neural Networks (CNNs) in automatically recognizing road signs. CNNs, as deep learning algorithms, possess the ability to process and classify visual data, making them well-suited for image-based tasks such as road sign recognition. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    CNN architectures for road surface wetness classification from acoustic signals

    CNN architectures for road surface wetness classification from acoustic signals by Bahrami, Siavash, Doraisamy, Shyamala, Azman, Azreen, Nasharuddin, Nurul Amelina, Yue, Shigang

    “…The classification of road surface wetness is important for both the development of future driverless vehicles and the development of existing vehicle active safety systems. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    DEVELOPMENT OF DRIVER DROWSINESS DETECTION ALGORITHM

    DEVELOPMENT OF DRIVER DROWSINESS DETECTION ALGORITHM by YVONNE, PHUA YEE WUN

    Published 2022
    “…To contribute to the existing works of driver drowsiness detection systems, this project aims to develop a more useful drowsiness detection algorithm with low complexity and high performance using Python 3.10.1 software. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
    Save to List
    Saved in:
  17. 17
    Development of predictive modeling and deep learning classification of taxi trip tolls

    Development of predictive modeling and deep learning classification of taxi trip tolls by Al-Shoukry, Suhad, M. Jawad, Bushra Jaber, Zalili, Musa, Sabry, Ahmad H.

    Published 2022
    “…The results of analyzing different predictive multiclass classification models with taxi trip tolls show that it is possible to use a machine learning-based model when we like to avoid road tolls depending on historical data on taxi trip tolls. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Driver drowsiness detection system through facial expression using Convolutional Neural Networks (CNN) / Nipa Das Gupta, Rajesvary Rajoo and Patricia Jayshree Jacob

    Driver drowsiness detection system through facial expression using Convolutional Neural Networks (CNN) / Nipa Das Gupta, Rajesvary Rajoo and Patricia Jayshree Jacob by Gupta, Nipa Das, Rajoo, Rajesvary, Jacob, Patricia Jayshree

    Published 2023
    “…Driver drowsiness or fatigue is a significant factor that causes road accidents each year and considerably affects road safety. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Building detection using object-based Image analysis (OBIA) and machine learning (ML) algorithms / Hanani Mohd Shahar

    Building detection using object-based Image analysis (OBIA) and machine learning (ML) algorithms / Hanani Mohd Shahar by Mohd Shahar, Hanani

    Published 2020
    “…In order to obtain a good classification accuracy, the suitable segmentation parameters (scale, shape and compactness) and features selection have been determined and Machine learning (ML) algorithms, namely Support Vector Machine (SVM) and Decision Tree (DT) classifiers have been applied to categorized five different classes which are water, forest, green area, building, and road. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Development of vehicle detection and counting system for traffic analysis using computer vision

    Development of vehicle detection and counting system for traffic analysis using computer vision by Saw, Kenny Wei Wen

    Published 2024
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:

Search Tools: