ashishraste / carnd-lanedetection

Udacity Self Driving Car Nanodegree Term 1 Project 1 : Lane Lines Detection

Lane Detection

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This repository contains the Lane Detection project (Project 1) of Udacity's Self Driving Car Nanodegree.

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Directory layout

1. lane_lines_detection.ipynb : Ipython notebook containing the project's lane-lines-detection pipeline.

2. project_writeup.md : Writeup on the detection pipeline used in the project, including its shortcomings and potential improvements.

3. test_images : Sample images to test the detection pipeline.

4. test_images_output : Annotated output given by the detection-pipeline, after having run on the test-images.

5. test_videos : Sample videos to test the detection pipeline.

6. test_videos_output : Contains annotated video outputs, having detected lane, of input videos residing in the test_videos/ directory.

7. scripts : Sources containing the detection pipeline and some of their unit-tests.

8. run_lane_detection.sh : Shell script to run the detection pipeline on the two videos inside test_videos/ directory.

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Running the lane-detection pipeline

Note: Below instructions are only supported for Unix shells.

From the parent directory run the following.

sh run_lane_detection.sh

Output videos are saved inside test_videos_output/ directory.

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