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auvsi-cv-linedetection

Learn how to detect lines using MATLAB. The concept of a Hough Transform is demonstrated to show how to use them to extract line segments. Tips on some preprocessing techniques are also provided to improve line detection results. An example of lane detection is used to explain these concepts.

carnd-advanced-lane-lines

enpm673_project2

This is the project No2 Lane detection for auto drive

lane-detection

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

lane-detection-1

lane-detection-and-traffic-sign-recognition

lane-detection-using-edge-detection

Self-driving or Autonomous driving, Advanced Driving Assistance System (ADAS) is one of the most popular topics in research related to vehicle safety. One of the most useful technologies in autonomous driving is lane detection that uses longitudinal marks (e.g. straight and dashed lines) as a reference to keep the vehicle running on lane. Various operators on edge detection are proposed to obtain the best accuracy of lane detection. However, the movement of the line marks between frames will vary depending on the speed of the vehicle. If the system fails to detect the line marker at high speed, will cause the autonomous driving system make a wrong decision. In this final task, we will perform a comparison analysis of Canny, Laplacian of Gaussian (Marr-Hildreth) and Kirsch's ability on edge detection methods to detect dashed line marks at varying speeds. The results showed that all operators succeeded in achieving the minimum detection target of 80% and obtained the best operators for line marker detection is Kirsch with the highest percentage at all speeds 30, 50 and 80 km / h.

lane_tracker

A Python program for lane line detection and tracking using a traditional computer vision approach

pedestrian-and-lane-detection

Implementation of pedestrian and lane detection on Indian roads and measuring performance

road_lane_line_detection

Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

tusimple-benchmark

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3