Description

UTRA Autonomous Rover Perception Team

Contributing to a student design team developing an autonomous rover for the IGVC (Intelligent Ground Vehicle Competition).

Key Contributions

  • Migrated the lane-detection pipeline from ROS1 to ROS2, modernizing the perception stack
  • Implemented classical computer vision techniques combined with YOLO for robust lane detection
  • Developed ROS2 nodes to publish lane masks and 3D lane points for downstream navigation
  • Collaborated with cross-functional teams to integrate perception outputs with the rover’s autonomy stack

Skills

  • ROS 2
  • Computer Vision
  • YOLO
  • Robotics
  • Autonomous Systems