Dynamic Data Augmentation Based on Imitating Real Scene for Lane Line Detection

Real-time camera based lane detection for autonomous driving

In this report a new designed real-time lane detection algorithm based on monocular vision and inertial measurement unit (IMU) is explained and evaluated. The acquired image from the camera is undergoing an inverse perspective mapping to create a bird-view perspective of the road. Local maxima in this image determine the lane-markers. Faulty local maxima are removed and constrained line fitting...

Partition based Hough Transformation for Real Time Road Lane Detection

An integral component of Autonomous Driver Assistance system is the robust detection and tracking of lane markings. It is a rigid problem due to large appearance variations in lane markings caused by factors such as improper illumination (transition from day to night), occlusion (traffic on the road), shadows from objects, etc. In this paper, we present a robust partition based lane detection a...

Real-time Detection Technology Based on Dynamic Line-edge for Conveyor Belt Longitudinal Tear

We propose a method of conveyor belt longitudinal tear dynamic line edge detection based on CCD digital image processing. CCD camera captured video frames of conveyor belt at a certain frequency, we first applied median noise filtering and binarization to preprocessing the motion images of conveyor belt on the condition that they were not degenerative. Then Canny edge detection operator detecte...

Building A Robust, Real-Time Vision-Based Lane Detection Algorithm

Real Time Vision Based Road Lane Detection and Tracking

Taking into account these various remarks, our method is composed of four modules: In this article, we describe a new method deA recognition phase allows to accurately detersigned to detect and track the road lane of a vehicle mine the position of the road sides in the image. equipped with a monocular monochromatic camera. This phase is based on the exploitation of a staThe goal of this work is...