Amanote Research

Amanote Research

    RegisterSign In

Monocular Multi-Kernel Based Lane Marking Detection

doi 10.1109/cyber.2014.6917447
Full Text
Open PDF
Abstract

Available in full text

Date

June 1, 2014

Authors
Wenjie LuSergio A. Rodriguez F.Emmanuel SeignezRoger Reynaud
Publisher

IEEE


Related search

A Robust Multi Color Lane Marking Detection Approach for Indian Scenario

International Journal of Advanced Computer Science and Applications
Computer Science
2011English

An Improved Approach for Robust Road Marking Detection and Tracking Applied to Multi-Lane Estimation

2013English

Automatic 3d Lane Marking Reconstruction Using Multi-View Aerial Imagery

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
InstrumentationEarthPlanetary SciencesEnvironmental Science
2018English

Robust and Real-Time Lane Marking Detection for Embedded System

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2015English

A Computer Vision Based Lane Detection Approach

International Journal of Image, Graphics and Signal Processing
2019English

Efficient Lane Detection Based on Artificial Neural Networks

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
InstrumentationEarthPlanetary SciencesEnvironmental Science
2017English

Effect of Centerline Marking on Lane Changing Behavior of Drivers

Journal of Injury and Violence Research
2019English

Kernel Based Detection of Mislabeled Training Examples

2007English

Detection of Lane Markings Based on Ridgeness and RANSAC

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy