Table of Contents
A tesla Like Car in ROS2 will follow lane , Use AI to classify Sign Boards and perform Object tracking to act on the sign boards and set speed respectively
Docker:
Ubuntu-20.04:
- Follow along the Wiki guide to setup the project.
- World Models Creation
- Prius OSRF gazebo Model Editing
- Nodes , Launch Files
- SDF through Gazebo
- Textures and Plugins in SDF
- Perception Pipeline setup
- Lane Detection with Computer Vision Techniques
- Traffic Light Detection Using Haar Cascades
- Sign and Traffic Light Tracking using Optical Flow
- Rule-Based Control Algorithms
- Sign Classification using (custom-built) CNN
-
Prius Hybrid Car
-
Satellite Navigation (NEW!)
-
Stage 1: Localiation
-
Stage 2: Mapping
-
Stage 3: Path-Planning
-
Stage 4: Motion-Planning
-
-
Lane Following
-
Sign Board Detection
-
Traffic Signal Recognition
-
T-Junction Navigation
-
The World
-
Custom Models
Software Based
- Ubuntu 20.04 (LTS)
- ROS2 - Foxy Fitzroy
- Python 3.6
- Opencv 4.2
- Tensorflow 2.14
Skill Based
- Basic ROS2 Nodes Communication
- Launch Files
- Gazebo Model Creation
- Basic OpenCV Usage
- Motivated mind :)
Explaining repository structure (i.e important files and their functions).
✨ Enroll Now with Special Discount ✨ [Discounted Link]
Haider Najeeb (Computer Vision) - Profile Link Muhammad Luqman (ROS Simulation and Control Systems) - Profile Link
Distributed under the GNU-GPL License. See LICENSE for more information.