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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

Reference Acknowledgement