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  1. 1

    Motion Control Algorithm for Path Following and Trajectory Tracking for Unmanned Surface Vehicle: A Review Paper by Putri Nur Farhanah, Mohd Shamsuddin, Muhamad Arifpin, Mansor

    Published 2021
    “…Path following algorithm usually used to describe the target, compute in the controller and minimize as well as to zero the distance between USV; and the angle between the vessel speed and the tangent to the path. …”
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    Conference or Workshop Item
  2. 2

    Development of real-time navigation system by using pure pursuit guidance for unmanned surface vehicle by Putri Nur Farhanah, Mohd Shamsuddin

    Published 2024
    “…Therefore, a Pure Pursuit algorithm will be developed to assist the USV in tracking the target's position, ensuring that the vehicle will follow the new path information, and enhancing the real-time performance of the USV as it tracks the target's current position based on the output commands. …”
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    Thesis
  3. 3

    A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

    Published 2009
    “…This research aims to develop a novel path prediction system which could keep track of the traveler during temporary shortage of actual positioning data. …”
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    Thesis
  4. 4

    Path planning algorithm for a car like robot based on Coronoi Diagram Method by Inun, Haidie

    Published 2013
    “…The algorithm is based on Voronoi diagram method for the environment representation combined with Dijkstra’s algorithm to find the shortest path. …”
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    Thesis
  5. 5

    A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy by Dewandaru, Agung, Md Said, Abas, Matori, A. N.

    Published 2008
    “…The curve-to-curve matching algorithms measure the similarity between the track and possible road path. …”
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    Article
  6. 6

    Implementation of Graph Based Path Planning Algorithms on a Mobile Robot in a Confined Site by TANG, HON PANN

    Published 2017
    “…This project investigates the performance of three different graph based path planning algorithms used, relaxed A*, A* and Dijkstra’s algorithm in a few environments with different obstacles settings using Gazebo environment simulator and Turtlebot simulator (computer simulation) and 4WD navigation robot (real environment simulation).…”
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    Final Year Project
  7. 7

    Vehicle route tracking system based on vehicle registration number recognition using template matching algorithm by Lai, Chor Kiew, Md Muzahid, Abu Jafar, Kamarulzaman, Syafiq F.

    Published 2021
    “…The system utilizes a Template Matching Algorithm for recognition of the registration number and together with Global Positioning System information, a tracking system was develop. …”
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    Conference or Workshop Item
  8. 8

    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Dewandaru, Agung

    Published 2008
    “…The satellite-based vehicle tracking systems accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. …”
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    Thesis
  9. 9

    Laser simulator: a novel search graph-based path planning approach by Ali, Mohammed A. H., Musa, Mailah

    Published 2018
    “…A novel technique called laser simulator approach for visibility search graph-based path planning has been developed in this article to determine the optimum collision-free path in unknown environment. …”
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    Article
  10. 10

    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Agung Dewandaru, Agung

    Published 2008
    “…The satellite-based vehicle tracking systems accuracy can be improved by augmenting the positional information using road network data, in a process known as map-niatcliing. …”
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    Final Year Project
  11. 11

    Ant colony optimization (ACO) algorithm for CNC route problem by Wan Nur Farhanah , Wan Zakaria

    Published 2012
    “…The GUT will be display the shortest path that should be taken by user and give user authority to manipulate the coordinate based on the requirement.…”
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    Undergraduates Project Papers
  12. 12

    A novel map-matching algorithm to improve vehicle tracking system accuracy by A.M., Said, A.N., Matori, A., Dewandaru

    Published 2007
    “…The better curve-to-curve matching algorithms considers the road connectivity and measure the similarity between track and the possible road path (hypotheses), but mostly does not have any way to manage multiple track hypotheses which have varying degree of similarity over time. …”
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    Conference or Workshop Item
  13. 13

    New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions by Mahmod Mohammad Altwallbah, Neda, Mohd Radzi, Mohd Amran, Azis, Norhafiz, Shafie, Suhaidi, Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2022
    “…For the first time, Trapezoidal rule concept is employed in P&O approach as a new consideration in the tracking process to calculate the best path for precisely tracking the GMPP. …”
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    Article
  14. 14

    Sensor based line follower self-driving car (sCar) with Obstacles Avoidance by Md Nazrul Islam, Jaime Gallardo-Alvarado, Othman bin Ahmad, Ali Farzamnia, Zakariah Aris

    Published 2016
    “…We develop a Collision Avoidance path-planning Algorithm (CAA) for dual motors controller line follower sCar that has ability for navigate collision avoidance path autonomously through a constraint track from initial position to goal position. …”
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    Article
  15. 15

    Automated positioning dual-axis solar tracking system with precision elevation and azimuth angle control by M. Sidek, M. H., Azis, Norhafiz, Wan Hasan, Wan Zuha, Ab Kadir, Mohd Zainal Abidin, Shafie, Suhaidi, Mohd Radzi, Mohd Amran

    Published 2017
    “…It is found that the solar tracker is able to position itself automatically based on sun path trajectory algorithm with an accuracy of ±0.5°. …”
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    Article
  16. 16

    Real time tracking in 3D space by robotic vision by Al-Khateeb, Khalid A. Saeed, Dandu, Mohd Akram

    Published 2007
    “…A digital real time auto tracking robotic system is designed and analyzed. The tracking is based on passive detection using live TV imaging. …”
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    Proceeding Paper
  17. 17

    A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control by Shamsudin, Shamsudin, Mohamaddan, Shahrol

    Published 2023
    “…Due to the complexity of autonomous mobile robot’s requirement and drastic technological changes, the safe and efficient path tracking development is becoming complex and requires intensive knowledge and information, thus the demand for advanced algorithm has rapidly increased. …”
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    Article
  18. 18

    Development of FRID based 2d localization simulation for autonomous guided vehicle tracking in indoor environment by Al Hazza, Muataz Hazza Faizi, Zainal, Nur Izzati Zainal, Rodzi, Mohd Zuhaili Mohd

    Published 2018
    “…The localization techniques are based on measuring the distance using path loss model from RSSI values provided by RFID and coordinates calculation using trilateration algorithm with multiple reference points. …”
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    Article
  19. 19

    A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control by Razali, Muhammad Razmi, Mohd Faudzi, Ahmad Athif, Shamsudin, Abu Ubaidah, Shahrol Mohamaddan, Shahrol Mohamaddan

    Published 2023
    “…Due to the complexity of autonomous mobile robot’s requirement and drastic technological changes, the safe and efficient path tracking development is becoming complex and requires intensive knowledge and information, thus the demand for advanced algorithm has rapidly increased. …”
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    Article
  20. 20

    A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control by Razali, Muhammad Razmi, Mohd Faudzi, Ahmad Athif, Shamsudin, Abu Ubaidah, Mohamaddan, Shahrol

    Published 2023
    “…Due to the complexity of autonomous mobile robot’s requirement and drastic technological changes, the safe and efficient path tracking development is becoming complex and requires intensive knowledge and information, thus the demand for advanced algorithm has rapidly increased. …”
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    Article