vietanhdev/open-adas
An advanced driver-assistance system using deep neural networks for traffic sign detection, forward collision warning, lane departure warning, and semantic segmentation on NVIDIA Jetson Nano hardware.
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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.
Frequently asked
- What is vietanhdev/open-adas?
- An advanced driver-assistance system using deep neural networks for traffic sign detection, forward collision warning, lane departure warning, and semantic segmentation on NVIDIA Jetson Nano hardware.
- Is open-adas open source?
- Yes — vietanhdev/open-adas is open source, released under the MIT license.
- What language is open-adas written in?
- vietanhdev/open-adas is primarily written in C++.
- How popular is open-adas?
- vietanhdev/open-adas has 493 stars on GitHub.
- Where can I find open-adas?
- vietanhdev/open-adas is on GitHub at https://github.com/vietanhdev/open-adas.