This project aims to develop a robust navigation system for a Duckiebot powered by NVIDIA Jetson Nano 4GB, integrating advanced sensor capabilities and computer vision algorithms to autonomously navigate in Duckietown for my DGMD E17 Class. .
This project aims to develop a robust navigation system for a Duckiebot powered by NVIDIA Jetson Nano, integrating advanced sensor capabilities and computer vision algorithms to autonomously navigate in Duckietown.
- Implement basic operational capabilities with manual control.
- Develop computer vision systems for lane detection and feature extraction.
- Achieve localization and autonomous navigation using graph-based SLAM techniques.
- Week 1-4: Initial Setup and System Design
Objective: Establish the basic framework and design the architecture of the navigation system. - Tasks:
- Set up the Jetson Nano with all necessary software.
- Design the system architecture.
- Dependencies: Acquisition of Jetson Nano and accessories.
- Expected Outcomes:
- Jetson Nano fully operational.
- System architecture documented.
- Deadline: End of Week 4.
- Week 5-8: Sensor Integration and Vision System Development
- Week 9-12: Localization and Autonomous Navigation
- Week 13-15: System Integration and Testing
- NVIDIA Jetson Nano
- Python, OpenCV for computer vision
- ROS for robotics management
Details on setting up the project hardware and software.
Quick start guide to running the system.
Guidelines for how to contribute to the project.