Aaron PanEngineer
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High Speed Drone Stereo Pipeline

Fall 2025 - Present
ROS2
Python
Docker
cuVSLAM
rectification

Overview

The goal of this project was to create a high speed stereo depth estimation pipeline for a high speed drone with inputs being stereo images and outputs being pose and depth maps. This project was done on a Jetson Orin Nano realtime with latency requirements.

The Challenge

Some notable challenges were: latency, benchmarking, integration, etc.

Key Features

  • Runs on Jetson Orin Nano at 15 Hz

Outcome

Learned a lot about integrating software on real time systems