Stop Sign Detection for Autonomous JetRacer

Freelance Project – Stop Sign Detection on Waveshare JetRacer (Jetson Nano)

I’m working on a hands-on autonomous driving project and already have a Waveshare JetRacer (Jetson Nano) platform available. I’m looking for a skilled freelancer to support the development.

The goal is to implement a real-time stop sign detection system directly on the JetRacer. The system should process the onboard camera feed, detect a stop sign, and trigger a reliable stop action.

Important:

* Focus is only on stop sign detection
* The solution must run on the Jetson Nano (Waveshare-Jetracer) (onboard, not external PC)

Scope of work:

* Develop and train a lightweight object detection model (YOLO)
* Optimize the model specifically for Jetson Nano
* Improve inference speed using TensorRT
* Integrate the solution into a ROS-based pipeline
* Ensure stable real-time behavior (low latency detection → stop)

Technical environment:

* Python
* NVIDIA Jetson Nano (Waveshare JetRacer)
* Camera-based detection
* Computer Vision / Deep Learning
* ROS (optional but preferred)

Requirements:

* Experience with embedded AI (especially Jetson Nano)
* Strong background in real-time object detection
* Experience with performance optimization
* Ability to deliver a working, efficient solution on real hardware

This is a practical implementation project, focused on getting a reliable system running on the JetRacer.

If you’re interested, feel free to reach out with your experience.