Drift-Line-Lane-Follower

Overview

2023 DIFA Daegu Model Autonomous Car Driving Contest: Team DRIFT -- Main driving + setup codes.

• Result : 2nd(22.7 sec)
• front_lidar_avoidance: main driving codes -- contains PD control and OpenCV-based Image processing logic
• debug/image_color_filter_node.py: color calibration and image pre-processing logic

Quick Start

python3 front_lidar_avoidance.py

Dependencies

• Raspberry Pi 4B+ & Cortex-M3 Controllers
• RGBD Camera & CiLab HW
• Ubuntu 18.04
• Python 2.7
• ROS Melodic
• OpenCV 3.4.6

Reference

Reference codes for the zzangdol-ai-car project, including implementations of Hector SLAM and Navigation ROS packages,
are available on GitHub at https://github.com/nsa31/Line-Lane-Follower-Robot_ROS.

These were developed as part of the University of Alberta's CMPUT 412 course on Experimental Robotics at
https://www.ualberta.ca/computing-science/undergraduate-studies/course-directory/courses/experimental-mobile-robotics.html

The initial creators of this reference

• Nazmus Sakib
• Vivian

Reference Acknowledgement

• Programming Robots with ROS