## outputContent Más Vale Muerto
# **Finding Lane Lines on the Road** ## Writeup Template ### You can use this file as a template for your writeup if you want to submit it as a markdown file. But feel free to use some other method and submit a pdf if you prefer. --- **Finding Lane Lines on the Road** The goals / steps of this project are the following: * Make a pipeline that finds lane lines on the road * Reflect on your work in a written report [//]: # (Image References) [image1]: ./test_images/solidWhiteCurve.jpg "Original" [image2]: ./test_images_output/solidWhiteCurve.jpg "Output" --- ### Reflection ### 1. Describe your pipeline. As part of the description, explain how you modified the draw_lines() function. My pipeline consisted of 5 steps. First, I converted the images to grayscale, then I applied Gaussian smoothing with kernel size 5. Next, I used Canny edge detection with low threshold of 50 and high threshold of 150. Then, I defined a region of interest to only include the area where we expect the lanes to be. Finally, I used Hough transform to detect lines and draw them. In order to draw a single line on the left and right lanes, I modified the draw_lines() function by: 1. Separating lines into left and right based on their slope. 2. Extrapolating lines to cover the entire lane line length. 3. Averaging the slopes and intercepts of the lines to produce a single line for each side. 4. Drawing the lines on the original image. Here's an example of my result on one of the test images: ![alt text][image1] ![alt text][image2] ### 2. Identify potential shortcomings with your current pipeline One potential shortcoming would be when there are sharp curves, as the linear extrapolation might not follow the curve accurately. Another shortcoming could be in varying lighting conditions or when the lane markings are faded or obscured. ### 3. Suggest possible improvements to your pipeline A possible improvement would be to use a polynomial fit instead of a linear fit to better handle curves. Additionally, using more advanced techniques like perspective transform to get a bird's-eye view could improve lane detection. Incorporating color and gradient thresholds could also make the pipeline more robust to different lighting conditions.
Acerca de ## outputContent Más Vale Muerto
# **Finding Lane Lines on the Road** ## Writeup Template ### You can use this file as a template for your writeup if you want to submit it as a markdown file. But feel free to use some other method and submit a pdf if you prefer. --- **Finding Lane Lines on the Road** The goals / steps of this project are the following: * Make a pipeline t...Leer más