Autonomous Drone Navigation & Target Tracking

A bachelor thesis project that connected visual target tracking, depth estimation, obstacle avoidance, and autonomous control.

Overview

The project built an end-to-end pipeline from video streaming to control. The drone used real-time object tracking and depth-based obstacle awareness to navigate based on visual feedback.

Slides

Project deck

1 / 9

Download PPTX
Autonomous Drone Navigation presentation slide 1

Key Work

  • Implemented real-time object tracking using YOLOv11.
  • Integrated DepthAnything v2 for obstacle avoidance.
  • Built an end-to-end video streaming to control pipeline.
  • Achieved autonomous navigation based on visual feedback.