Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
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Updated
May 24, 2020 - Python
Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
L3 wiggles
This project was created on Modern OpenGL . It simulates randomly falling particles (here leafs) . Simulation is free from any repetitive patterns
Created a pipeline to identify lane lines using various techniques like perspective transform, color gradients, detecting fit for the lanes, detecting curvature and finally warping all to the original image.
Image processing pipeline for detecting highway lane in a video
with Microsoft Foundation Classes
Background Subtraction/ Optical Flow/ Perspective Transform/ PCA/ Dogs and Cats classification Using ResNet50
Udacity Advanced Lane Lines Project
image warp in c function
Perspective CSS Project
CarND Advanced Lane Detection. See my demo at https://www.youtube.com/watch?v=ItwgPuQojds&feature=youtu.be
A sudoku solver web application based on image processing techniques.
Applied signal processing to dash-cam video feed to detect lane lines on the road and used numerical methods to derive approximate real-world measurements of the lane lines.
Project 4 forSelf driving car nanodegree
3D-reconstruction using GANs and plotting in AR
A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.
Demonstration of CSS 3D Transforms with JS.
Python, Camera calibration and undistortion, Color and Gradient threshold, Warping and unwarping functions
image rectification, thresholding, perspective transform and sliding-window search implementation for lane lines
This repository illustrates all of the progress in my internship program at UniCloud Group. Thanks to my leader, namely Kieu-Anh NT, and AI team members, I definitely complete my project with the state-of-the-art methods, and help eKYC services that can be updated a new function for users in banking application.
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