There are 0 repository under lane-finding topic.
Udacity Self-Driving Car Engineer Nanodegree projects.
Unofficial implemention of lanenet model for real time lane detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
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
Lane detection and classification in an end-to-end Deep Learning fashion
TuSimple lane detection dataset addon with class information.
An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.
Lane identification system for camera based systems.
Apply computer vision to label the lanes in a driving video
we present the plans of a driver-assistance system, which will be capable of road lane and traffic sign detection by using an OPEN-CV.
Fourth Project of the Udacity Self-Driving Car Nanodegree Program
Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection
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.
Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree
Lane depertaure and Yolo objection detection C++ Linux
Lane Finding Project for Self-Driving Car Nano Degree Term 1. Road Lane Lines are detected by using various image processing techniques like Grayscale, Blurring, Canny Edge Detection, Hough Transform and Masking.
Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5
Curved Lane Detection by computer vision techniques such as perspective transform or image thresholding.
Semi-autonomous system for lane keeping based on C++ & OpenCV 4.x
Find lane from camera images of an autonomus car
Identify the lane boundaries in a video.
Contains my assignments and labs for Udacity's Self-Driving Car Engineer nanodegree
Detect lane lines on a road using computer vision techniques
This project is to detect lanes in a video or image and project the results on the output. advanced math and image processing including openCV was used to finish the project.
P4-Advanced-Lane-Finding
Lane Line Fitting Based on Perspective Transformation | 基于透视变换的车道线拟合
Lane tracking was done from the images taken from the camera placed on top of the vehicles using Computer Vision. Not done yet.
A more robust fully convolutional lane finding algorithm for GTA5
Lane Marking Quality Assessment for Autonomous Driving
Lane finding algorithm using image binarization and bird-eye perspective warping
Advanced Lane lines detection project as a part of Self-Driving Cars Nano-degree
Neural network to predict and draw traffic lanes.
Distinguish lanes for self-driving cars- using color selection, region masking & edge detection