robotics•Jul 25, 2026

Building a Real-Time Object Detection and Tracking Pipeline with ROS 2 and YOLOv11

Learn how to build a real-time object detection and tracking pipeline using ROS 2 and YOLOv11, including camera ingestion, object detection, multi-object tracking, and model export for edge deployment.

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Key summary

This tutorial builds a complete real-time object detection and tracking pipeline using ROS 2 and YOLOv11, covering camera ingestion, object detection, multi-object tracking, and model export for edge deployment.

TL;DR

Build a real-time object detection and tracking pipeline with ROS 2 and YOLOv11
Publish camera frames from a simulator into ROS 2
Run YOLO inference in a dedicated thread
Integrate ByteTrack for multi-object tracking across frames
Export your model to ONNX for faster inference on constrained hardware
Test the full pipeline with a working ROS 2 installation
Understand the architectural decisions for a production-ready perception system

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