Fast and accurate registration of large scene vehicle-borne laser point clouds based on road marking information
- 12 December 2022
- journal article
- research article
- Published by Elsevier in Optics & Laser Technology
- Vol. 159, 108950
Abstract
No abstract availableKeywords
Funding Information
- National Key Research and Development Program of China (2022YFB3904101)
- National Natural Science Foundation of China (42071444, U22A20568)
This publication has 33 references indexed in Scilit:
- Feature Detection for Vehicle Localization in Urban Environments Using a Multilayer LIDARIEEE Transactions on Intelligent Transportation Systems, 2015
- Automatic detection of zebra crossings from mobile LiDAR dataOptics & Laser Technology, 2015
- Semantic alignment of LiDAR data at city scale2015
- A hough transform based scan registration strategy for Mobile Robotic Mapping2014
- Graph-based ground segmentation of 3D LIDAR in rough area2014
- Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability CheckRemote Sensing, 2013
- Automated Extraction of Road Markings from Mobile Lidar Point CloudsPhotogrammetric Engineering & Remote Sensing, 2012
- Scan registration for autonomous mining vehicles using 3D‐NDTJournal of Field Robotics, 2007
- On the approximation of largest common subtrees and largest common point setsTheoretical Computer Science, 2000
- A method for registration of 3-D shapesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1992