01. Submitting Your Project

Submitting Your Project

Below is the workspace with your code from the previous lessons. At this point, you should be just about ready to submit the project! Be sure that you have implemented your own RANSAC, KD-Tree, and Euclidean clustering algorithms, as these are required as part of your processing pipeline. The quizzes in the previous lessons are a great resource for doing this! A project that uses PCL's built in segmentation and clustering functions will not pass, although those PCL functions can be useful for testing .

Testing Your Project Before Submission

Before you submit the project, compile and run the project once more to ensure that everything is working correctly. You should see results that are similar to the .gif above: the road should be segmented from the vehicles, and there should boxes placed around the detected obstacles.

Checking the Rubric

If your project works correctly and you are happy with the results, carefully look at the project rubric . If you feel like all the criteria from the rubric are met, you are ready to submit!

Submitting the Project

You can submit your project using the "SUBMIT PROJECT" button in the terminal below. If you are developing the project locally, and you would prefer to submit using a .zip file or Github repo, proceed to the next concept.

Workspace

This section contains either a workspace (it can be a Jupyter Notebook workspace or an online code editor work space, etc.) and it cannot be automatically downloaded to be generated here. Please access the classroom with your account and manually download the workspace to your local machine. Note that for some courses, Udacity upload the workspace files onto https://github.com/udacity , so you may be able to download them there.

Workspace Information:

  • Default file path:
  • Workspace type: react
  • Opened files (when workspace is loaded): n/a