Search Results - (( vehicle detection based algorithm ) OR ( java application tree algorithm ))

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  1. 1

    Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm by Khalifa, Othman Omran, Wajdi, Muhammad H., Saeed, Rashid A., Hassan Abdalla Hashim, Aisha, Ahmed, Muhammed Z., Ali, Elmustafa Sayed

    Published 2022
    “…Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection, incident detection, and vehicle speed estimation. …”
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    Article
  2. 2

    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 the future, it is expected that the detection from a tracking algorithm will automatically switch the traffic light signals based on the road conditions. …”
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    Thesis
  3. 3

    Landmark detection for vision based of autonomous guided vehicle by Nurul Atiqah Syazwani, Kamarudin

    Published 2012
    “…The algorithm is developed not only to detect and recognize but also to distinguish landmark from non-landmark. …”
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    Undergraduates Project Papers
  4. 4

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

    Published 2024
    “…Once the trained weights are ready a deep learning algorithm detection model is applied to detect and draw a bounding box on the vehicles. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6

    Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods by Mohd Sharif, Zakaria, Mohammad Fadhil, Abas, Fatimah, Dg Jamil, Norhafidzah, Mohd Saad, Addie, Irawan, Pebrianti, Dwi

    Published 2024
    “…This paper shows the potential of optimization-based UAV problematic vibration detection. A proposed fitness function based on the frequency domain has been detailed. …”
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    Conference or Workshop Item
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    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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    Thesis
  10. 10

    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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    Thesis
  11. 11

    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 provide an accuracy around 80% confidence when detecting a vehicle plate number and successfully display the path of the vehicle based on the time and location of the vehicle detected.…”
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    Conference or Workshop Item
  12. 12

    Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods by Zakaria, Mohd Sharif, Abas, Mohammad Fadhil, Dg Jamil, Fatimah, Mohd Saad, Norhafidzah, Hashim, Addie Irawan, Pebrianti, Dwi

    Published 2024
    “…This paper shows the potential of optimization-based UAV problematic vibration detection. A proposed fitness function based on the frequency domain has been detailed. …”
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    Proceeding Paper
  13. 13
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    Lane detection system for autonomous vehicle using image processing techniques by Mohd Kiblee, Shahizul Eza

    Published 2005
    “…A Radon peak detection algorithm was developed based on two values, Rand O. …”
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    Thesis
  15. 15

    Development of a Raspberry Pi Drowsiness Detection System based on Histogram of Oriented Gradient (HOG) Algorithm and Eye Aspect Ratio (EAR) Formula by Francis Xavier, Sam Daniel

    Published 2020
    “…This is due to the systems’ high-power usage nature, usage of expensive technologies and difficulties in integrating the detection system into all vehicles’ system. Therefore, a Raspberry Pi drowsiness detection system based on Histogram of Oriented Gradient (HOG) algorithm and Eye Aspect Ratio (EAR) formula has been developed in this research. …”
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    Final Year Project
  16. 16

    Object detection technique for small unmanned aerial vehicle by Ramli, M. Faiz, Legowo, Ari, Shamsudin, Syariful Syafiq

    Published 2017
    “…Obstacle detection and avoidance is desirable for UAVs especially lightweight micro aerial vehicles and is challenging problem since it has payload constraints, therefore only limited sensor can be attached the vehicle. …”
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    Proceeding Paper
  17. 17

    A hyperbola-pair based lane detection system for vehicle guidance by Khalifa, Othman Omran, Khan, Imran Moez, Assidiq, Abdulhakam A. M., Hassan Abdalla Hashim, Aisha, Khan, Sheroz

    Published 2010
    “…This paper presents a recent vision-based on-road lane detection system. Our focus is on systems where the camera is mounted on the vehicle rather than being fixed such as in traffic/driveway monitoring systems. …”
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    Proceeding Paper
  18. 18

    AUTOMATED VEHICLE COUNTING AND CLASSIFICATION SYSTEM FOR TRAFFIC CENSUS by MOHMOOD NOR, MOHD NAZIF HAWARI

    Published 2012
    “…Computer vision technology is used to achieve this objective. For the vehicle detection, background subtraction and approximate median algorithm are used. …”
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    Final Year Project
  19. 19

    Enhanced and effective parallel optical flow method for vehicle detection and tracking by Bhaskar, P.K., Yong, S.-P., Jung, L.T.

    Published 2016
    “…With a view to do improvements, it is proposed to develop an unique algorithm for vehicle data recognition and tracking using Parallel Optical Flow method based on Lucas-Kanade algorithm. …”
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    Conference or Workshop Item
  20. 20

    Vehicle classification technique for automated road traffic census by Bong, Shuk Hui

    Published 2014
    “…The developed prototype consists of three main phases: the first phase is video frame preprocessing by applying thresholding, masking, image differencing, and median filter to obtain a resultant image for vehicle detection algorithm. The second phase is vehicle detection algorithm by processing the resultant image with 'Sobel · edge detection, first level dilation, binary filling of holes, boundary vehicle elimination, second level binary dilation, and morphological binary open to obtain a final output image for vehicle classification. …”
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    Final Year Project Report / IMRAD