Multi-level height maps-based registration method for sparse LiDAR point clouds in an urban scene-Reference-Cited by-同舟云学术

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Multi-level height maps-based registration method for sparse LiDAR point clouds in an urban scene

Published:2021-05-05 Issue:14 Volume:60 Page:4154
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Fang Bin^ORCID,Ma Jie,An Pei^ORCID,Wang Zhao,Zhang Jun,Yu Kun

Funder

National Natural Science Foundation of China

Equipment Pre-Research Project

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference37 articles.

1. Fast global registration;Zhou,2016

2. A review of recent range image registration methods with accuracy evaluation

3. Lidar and camera calibration using motion estimated by sensor fusion odometry;Ryoichi,2018

4. Unsupervised Depth Completion From Visual Inertial Odometry

5. 3D registration based on the direction sensor measurements

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1. Efficient geological point cloud registration method combining dimension reduction and feature points;Applied Optics;2024-07-11

2. Extrinsic calibration for multi-LiDAR systems involving heterogeneous laser scanning models;Optics Express;2023-12-15

3. Global Consistency Point Cloud Registration: A Multi-Path Bundle Adjustment Approach;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08

4. RS-Aug: Improve 3D Object Detection on LiDAR With Realistic Simulator Based Data Augmentation;IEEE Transactions on Intelligent Transportation Systems;2023-09

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