LaneDetection: Apply a new ML approach to go from segmented image to line polyonomial - Githubissues

tum-phoenix / drive_ml

This is the repository for our Machine Learning applications

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LaneDetection: Apply a new ML approach to go from segmented image to line polyonomial #42

Closed Christiaan1990 closed 3 years ago

Christiaan1990 commented 3 years ago

Objective: Currently, a simple regression is applied to go from the segmented image to a line polyomial. This ticket is thinking about a different ML approach and implement this idea.

How to start with the ticket:

Get current script from github (https://github.com/tum-phoenix/drive_ml)
Create the new script for estimating the polynomials from the segmented image.
Commit this script to github.

Constraints:

The network has to run at least at 25FPS on our on-board hardware (A Jetson TX2)
- This also includes communication with the ROS core running on the main Intel NUC board

Benchmarks:

No current measurement about framerate yet

Files: https://github.com/tum-phoenix/drive_ml