Papers

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Title 1:
"Real-time Detecting and tracking of UAVs Using Convolutional Neural Network"

Title 2:
"Hybrid Smart Demand Responsive Public Transport System for Conventional Public Transport in City Metropolitan Area"

Title 3: ICOIN 2020
Real-Time UAV Recognition with Data Augmentation Using Deep Learning for Surveillance Systems

Title 4:
"Modified RCNN for anomaly flying in range objects"

thesis:
extended version of title 1 and 4

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Last Week's Progress

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Title 3:
working on the simulations and the data augmentation.
adjusting the input size to fit the CNN.

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This Week Todo's

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finish title 3 and submit it

thesis:
survey more papers to assure that the proposed CNN is showing better results than previous ones
simulate CSPNet and yolov3 object classifier and modify it to handle its limitations.

after meeting with prof. Lee he gave the next instructions:
1- survey more papers and find the limitations on them.
2- modify my approach to overcome those limitations.
3- compare my results with existing ones.
4- prof. Lee approved my approach to challenge CSPNet.
5- try to clean the dataset from the unclear photos.
6- start writing the thesis since we dont have much of time

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Project Progress

Anti-Drone

Last Week's Project

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already worked on a 180 frames of the dataset


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This Week's Project

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now trying to run the dataset into the yolov3 classifier

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Monthly Goals

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finish my 2 journals and my thesis

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Annual Goals

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graduate

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