FornaxAI's RNet

ℹ️ Introduction

Check out RNet v0.3's demo video

Demo video of RNet

test-video-rnet.mp4

Example image of RNet's predictions on road lanes

🆕 What's new with FornaxAI's RNet v0.3?

• RNet trained with more data. This helps model to find road lanes better on real world examples.
• RNet's predictions about road lanes go through a new filter. In this way, the locations of the road lanes can be determined better.

Training FornaxAI's RNet

• RNet uses it's own special algorithm to find ground truth of given video. By using that, we don't need to specify the road lane markings manually.
• RNet's special ground truth finding algorithm helps us to create dataset much faster than manually creating dataset.
• The must-have dataset to train RNet was developed by FornaxAI.

FornaxAI's RNet can be used in

• Self driving car
• Lane assisting
• Autonomous delivery vehicles and many more areas that requires drive assist.

📧 Contact & Working with us

Interested in working with us? Communicate directly to our Head Developer & CEO by clicking here or contact us via our Linkedin page.

🎯 Planned new features

• Creating a GUI to show predictions around the car.
• Training RNet with more data.
• Working with companies interested in self-driving, lane assisting and autonomous delivery vehicle manufacturers.