Road Markings Segmentation from LIDAR Point Clouds using Reflectivity Information
Author:
Affiliation:
1. Johannes Kepler University Linz,Chair Sustainable Transport Logistics 4.0,Linz,Austria,4040
Funder
Austrian Science Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9986509/9986535/09986939.pdf?arnumber=9986939
Reference23 articles.
1. A new 3D LIDAR-based lane markings recognition approach
2. A Threshold Selection Method from Gray-Level Histograms
3. Road marking detection using LIDAR reflective intensity data and its application to vehicle localization
4. Real-Time Road Lane Detection in Urban Areas Using LiDAR Data
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1. LOGIC: LiDAR-Only Geometric-Intensity Channel-based Drivable Area Estimation in Urban Environments;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
2. Multimodal Fusion Network for 3-D Lane Detection;IEEE Transactions on Neural Networks and Learning Systems;2024
3. Recent Developments on Drivable Area Estimation: A Survey and a Functional Analysis;Sensors;2023-09-03
4. When Does Machine Vision Fail to Recognise Road Markings?;2023
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