ADAS Project Documentation

Welcome to the ADAS project documentation.

Contents:

• Introduction
  • Project Overview
  • Key Features
  • System Architecture (High-Level)
• Setup & Installation
  • Prerequisites
  • Cloning the Repository
  • Installing Dependencies
  • Downloading Pre-trained Models
  • Setting Up Environment Variables
  • NLTK Data for Chatbot
• Core Modules
  • Graphical User Interface (GUI) - gui/
  • ADAS Backend - main.py
  • Frame Processor - src/process_fame.py
  • Perception Modules - src/perception/
  • Object Tracker - src/tracker.py
  • CARLA Integration - carla_module/
  • NLP Chatbot - NLP/
  • Calibration - src/calibration.py
  • Configuration Files - config/
• Training Perception Models
  • Object Detection (YOLOv8)
  • NLP Chatbot Model
• Running the Application
• Key Concepts Explained
  • Stereo Vision and Disparity
  • Object Detection (YOLO)
  • Lane Detection
  • Object Tracking (SORT-like)
  • NLP for Q&A (Intent Recognition)
  • CARLA Simulator
• Future Work / Contributing (Ideas)

Indices and tables

• Index

• Module Index

• Search Page