Carla Simulation

Personal Project
Fall 2021

The Autonomous Carla is a personal project where I created a perception stack for the Carla vehicle simulation environment.

Overview

  • Description: The Autonomous Carla project is a perception stack that currently includes support for automatic data collection, automatic labeling, and object/lane detection
  • Results: This project currently includes support for automatic data collection, automatic labeling, and object/lane detection with more planned for the future
  • Impact: The automatic data labeling technique removes the need for manual data labeling


    • Features

    • Automatic data collection/labeling using the simulation environment's semantic segmentation image
    • Object/lane detection using a VGG deep learning network


      • Skills

      Skills

      Simulation Environment 100%

      Deep Learning 100%

      Computer Vision 100%

      Data Collection/Processing 75%

      Tools

      Python 100%

      OpenCV 100%

      PyTorch 100%