lane-curvature

Advanced lane detection using computer vision

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

Advanced lane finding

Camera Calibration; Distortion Correction; Perspective transform ("bird-eye view"); Compute curvature and vehicle position.

In this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.

Udacity Self-Driving Car Engineer.

Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center.

Software pipeline to identify lane boundaries from a video streaming from a front-facing camera on a car using color transform and gradient

Lane Detection and Departure warning.

Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center

A software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. Project 2 of the Udacity Self-Driving Car Engineer Nanodegree program.

C++ Lane Detection using OpenCV

Advanced Lane Finding project by Udacity, that teaches camera calibration, insights into perspective transforms, color space exploration and thresholding binary images. The repository contains the lane finding algorithm.

Advanced lane line fining including camera calibration

Udacity Self Driving Car Engineer Project - Advanced Lane Lines Detection

A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.

Python, Camera calibration and undistortion, Color and Gradient threshold, Warping and unwarping functions

Goal is to create a software pipeline to identify the lane boundaries in a video and write a detailed commentary on the output.

In this project, I have used computer vision techniques to identify lane boundaries and compute the lane metrics (radius of curvature, Offset to the center).

Lane Finding and Curvature Estimation using Advanced CV techniques