OpenADAS is an embedded ADAS solution built on the Jetson Nano platform that deploys deep learning models for real-time perception. The system runs neural networks for object detection and semantic segmentation using TensorRT optimization, enabling features like traffic sign recognition, lane detection, and collision warning. It includes hardware design documentation, software stack guides, and model deployment notes for the embedded platform.