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.