#计算机科学#Udacity Self-Driving Car Engineer Nanodegree projects.
#计算机科学#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 veloci...
#计算机科学#Lane detection and classification in an end-to-end Deep Learning fashion
#数据仓库#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.
Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree
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.
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 ...
Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5
#计算机科学#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