This is my code submission for Self-driving Car Nanodegree from November 2016.
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Updated
Jul 19, 2017 - HTML
This is my code submission for Self-driving Car Nanodegree from November 2016.
Lane Finding Project for Self-Driving Car ND
Projects for the Class ENPM 673 - Perception for Autonomous Robotics at the University of Maryland, College Park
Thousand of people across the globe suffer from either complete or partial blindness which makes it difficult for them to walk around without any type of assistance. The project Eye for Vision aims to fill in the gap and provide common people with solutions that are accurate and affordable.
This project explores transforming real-world images into a cartoon-like style using image processing filters and detecting road lanes using Hough Transform
Advance Lane Line Detection for Self driving car
A lane detector using advanced Computer Vision techniques
Lane Finding Project for Self-Driving Car ND
Lane Finding Project for Self-Driving Car ND
using traditional computer vision techniques to detect lane lines for self driving cars
A camera and a LIDAR based robotics quadrathlon with a Clearpath Jackal robot. Implemented with ROS in Ubuntu.
Bosch Future Mobility Challenge 2020 - Axlenauts
Lane boundary detection and tracking project.
ROS를 활용한 자율주행 차량의 차선 탐지 및 경로 계획 프로젝트 (장애물 회피 및 주행 경로 추적을 위한 영상 처리 및 제어)
This project provides a Python implementation for lane detection using OpenCV library. It uses the Hough Transform algorithm to detect lines in video frames and draw the final lane lines on the original frames.
Project work part of Deep Learning Course at Clemson University.
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