This repository is dedicated for showing the work of the "Lane Detection" subgroup within #sg_wonder_vision channel on Slack Work-space for Private and Secure AI challenge from Udacity.
Update: This project won the in the project showcase challenge as one of the top 10 projects out of hundreds of projects you can find the badges of the contributers here: https://github.com/depo-egy/Wonder_Vision_Lane_Detection/tree/master/Badges
As the name suggests, this project focusses on identification of lanes of the road which we achieved through this project using various approaches and frameworks including but not limited to OpenCV, PyTorch etc. This model is to be used in drones , self driving cars, surveillance systems , so its is primarily related to 'Safety'.
- Reading Images
- Color Filtering in HLS
- Region of Interest
- Canny Edge Detection
- Hough Line Detection
- Line Filtering & Averaging
- Overlay detected lane
- Applying to Video
Following are the Slack handles of the members
| Name | Slack Name | Github |
|---|---|---|
| Astha Adhikari | @Astha Adhikari | https://github.com/adhikariastha5 |
| Oudarjya Sen Sarma | @Oudarjya Sen Sarma | https://github.com/oudarjya718 |
| Mohammad Diab | @Mohammad Diab | https://github.com/depo-egy |
| Shiva Shankar | @shivu | https://github.com/shiv-u |
| Vigneshwari Ramakrishnan | @Vigneshwari | https://github.com/drvigneshwari |
https://docs.google.com/document/d/1fGN4T_ZJNQP5KHoIm5kUwVwMsGtgJyX9qYuI5ZCVQWc/edit
- It can be used in drones We can use lane detection in automatic drones which are used nowadays like medical,traffic control,monitoring and so on.
- It can be used in air surveillance system. We can use this lane detection in to get a survey of places affected by disasters or in general normal surveillance.
- We can even measure the traffic crowd in particlular lane.
We tried using vgg model for detecting the car using transfer learning. Though we could not completely integrate it with our project, we have a kept a small notebook for the things we have tried.
We also tried the object detection in a video using yolo and the weights are in the drive link above.
- Detecting urban and rural roads.
- Use car detection in roads for a particular lane and count frequency (real time video)
- Use this detection with other projects in #sg_wonder_vision channel to create a mass useful project.