Search Results - (( data estimation method algorithm ) OR ( data navigation using algorithm ))

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  1. 1

    Fuzzy logic-based arrival time estimation for indoor navigation using augmented reality by Mohammed Sohif, Muhammad Hidayat, Mardzuki, Muhammad Imran, Mohd Ibrahim, Azhar, Haja Mohideen, Ahmad Jazlan

    Published 2025
    “…This study proposes a mobile AR application for indoor navigation that uses an intelligent signage algorithm based on fuzzy logic to estimate arrival time. …”
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    Article
  2. 2

    A smart marker-based indoor navigation system by Teoh, Zhen Quan

    Published 2024
    “…The proposed system also employs algorithms to calculate the shortest path for navigation and estimate the user position for localization when the user scans a marker. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid by Abd Hamid, Hanim Fazira

    Published 2020
    “…Water depth from SDB estimation is based on in-Situ data and can be used to make navigation. …”
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    Thesis
  4. 4

    Improvement of an integrated global positioning system and inertial navigation system for land navigation application by Hasan, Ahmed Mudheher

    Published 2012
    “…The proposed hybrid method is simple, easy to implement and can be used to automate the INS-error estimation step used in the proposed integrated GPS/INS navigator. …”
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    Thesis
  5. 5

    ROS based mobile robot navigation with imperfect data association by Hamzah, Ahmad, Nur Ismahani Zulaikha, Mohd Din, Mohd Mawardi, Saari, Nur Aqilah, Othman, Mohd Syakirin, Ramli

    Published 2024
    “…The simulation results show that the proposed navigation method is effective to estimate the mobile robot location with imperfect data association.…”
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    Conference or Workshop Item
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  7. 7

    Uncertainty estimation for improving accuracy of non-rigid registration in cardiac images by Mazaheri, Samaneh, Sulaiman, Puteri Suhaiza, Wirza, Rahmita, Dimon, Mohd Zamrin, Khalid, Fatimah, Tayebi, Rohollah Moosavi

    Published 2015
    “…In other words, uncertainty estimation is used to evaluate the registration algorithm performance which integrates intensity-based and feature-based methods. …”
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    Book Section
  8. 8

    Automatic estimation of inertial navigation system errors for global positioning system outage recovery by Hasan, Ahmed Mudheher, Samsudin, Khairulmizam, Ramli, Abdul Rahman, Raja Abdullah, Raja Syamsul Azmir

    Published 2011
    “…Kalman filter (KF) is widely used in INS and GPS integration to present a forceful navigation solution by overcoming the GPS outage problems. …”
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    Article
  9. 9

    Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

    Published 2021
    “…As a consequence, the agent is expected to have trained behaviors and navigation without crashing. The complete project is carried out in the CARLA simulator to determine how to operate in discrete action space using Deep Reinforcement Learning (DRL) algorithms. …”
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    Monograph
  10. 10

    Enhancing navigation accuracy of Turtlebot3 Burger mobile robot by Muhammad Haniff, Gusrial, Muhammad Luqman Hakim, Abdullah, Nur Aqilah, Othman, Hamzah, Ahmad

    Published 2024
    “…To address this challenge, the Kalman Filter algorithm is implemented in this robot, as it is widely used for mobile robot navigation and system integration. …”
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    Conference or Workshop Item
  11. 11

    Covariance matrix analysis in simultaneous localization and mapping by Nur Aqilah, Othman

    Published 2016
    “…Sudden absence of these data might affect the state estimation and the covariance value. …”
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    Thesis
  12. 12

    Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

    Published 2024
    “…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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    Final Year Project / Dissertation / Thesis
  13. 13

    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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    Thesis
  14. 14
  15. 15

    A Review: Current Trend of Immersive Technologies for Indoor Navigation and the Algorithms by Sariman, Muhammad Shazmin, Othman, Maisara, Mat Akir, Rohaida, Mahamad, Abd Kadir, Ab Rahman, Munirah

    Published 2024
    “…Based on the findings of this review, we can conclude that an efficient solution for indoor navigation that uses the capabilities of embedded data and technological advances in immersive technologies can be achieved by training the shortest path algorithm with a deep learning algorithm to enhance the indoor navigation system.…”
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    Article
  16. 16

    Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi by Ujang, Muhamad Uznir

    Published 2008
    “…Dijkstra's algorithm is one of the algorithms that could be used in network analysis process especially for 2D shortest route data. …”
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    Thesis
  17. 17

    Multiple equations model selection algorithm with iterative estimation method by Kamarudin, Nur Azulia, Ismail, Suzilah

    Published 2016
    “…This estimation method is equivalent to maximum likelihood estimation at convergence. …”
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    Article
  18. 18

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
    “…Algorithms are developed for a simulated mobile robot that uses an array of range finders for navigation. …”
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    Monograph
  19. 19

    Effect of LiDAR mounting parameters and speed on HDL graph SLAM-Based 3D mapping for autonomous vehicles by Law, Jia Seng, Muhammad Aizzat, Zakaria, Younus, Maryam, Yong, Ericsson, Ismayuzri, Ishak, Mohamad Heerwan, Peeie, Muhammad Izhar, Ishak

    Published 2025
    “…This study investigates the physical calibration of a LiDAR sensor mounted on a moving vehicle and its effect on 3D map generation using the HDL Graph SLAM algorithm. HDL Graph SLAM was selected as the offline post-processing method due to its self-correcting functions for estimating and auto-correcting positional errors from LiDAR data. …”
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    Article
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