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The model was developed for the detection of traffic objects using the CARLA simulator, YoloV3, Python.

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guilherme-mendes/CARLA-Traffic-Sign-Detection

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CARLA-Traffic-Sign-Detection

To run our model you need:

1 - do the tasks in this repo https://github.com/umtclskn/Carla_Simulator_YOLOV3_Object_Detection

2 - You need to install Tesseract 4

We recomend that you use a virtual enviroment to install our requirements file and to use Python in 3.7 version, after that you can run our model

3 - Install the requirements file and Python 3.7

Traffic Signs Distance Detection

This information can be obtained using the show_recorder_file_info.pyin simulator Carla.

  • Demonstration of the calculation of the distance between objects and the vehicle.

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  • Traffic Signs Dataset

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Documentation

You can acces the documentation of this project in this link.

Article

You can acces the article of this project in this link.

Video presentation

You can acces our presentation of this project in this link.

Screenshots

  • 30km/h Speed Traffic Sign detection

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  • Stop Traffic Sign detection

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  • 90km/h Speed Traffic Sign detection

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The model was developed for the detection of traffic objects using the CARLA simulator, YoloV3, Python.

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