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A Bachelor Thesis project on Navigation for Autonomous Vehicles

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Visual-navigation

Navigation for Autonomous Vehicles

How to run:

  1. Download the YOLO weights in tensorflow format from the following link: https://drive.google.com/drive/folders/1m8tKgusgaaQt5GahSPuzWY4oQd27Lpg9?usp=sharing Put these files in a folder named "saved_model"

  2. Put a video in the current directory and rename it as "input_video.mp4" on which navigation is to be done.

  3. Create a folder called "output" to store the output frames from the pipeline and intermediate ouputs.

  4. Make sure you have the following dependencies installed in your python environment: i) tensorflow-gpu ii)opencv 4.0.0 iii)opencv-python --------required for tracking iv)cuda-nn 9.0

  5. Run the command "python vscript.py" in the terminal.

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A Bachelor Thesis project on Navigation for Autonomous Vehicles

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