A Camera to LiDAR calibration approach through the optimization of atomic transformations-Reference-Cited by-同舟云学术

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A Camera to LiDAR calibration approach through the optimization of atomic transformations

Published:2021-08 Issue: Volume:176 Page:114894
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Pinto de Aguiar André Silva,Riem de Oliveira Miguel Armando,Pedrosa Eurico Farinha,Neves dos Santos Filipe Baptista

Funder

Foundation for Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Bundle adjustment in the large;Agarwal,2010

2. Vineyard trunk detection using deep learning – An experimental device benchmark;de Aguiar;Computers and Electronics in Agriculture,2020

3. Hierarchical camera auto-calibration for traffic surveillance systems;Álvarez;Expert Systems with Applications,2014

4. Self-driving cars: A survey;Badue;Expert Systems with Applications,2021

5. A method for registration of 3-d shapes;Besl;IEEE Transactions on Pattern Analysis and Machine Intelligence,1992

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1. VA-LOAM: Visual Assist LiDAR Odometry and Mapping for Accurate Autonomous Navigation;Sensors;2024-06-13

2. Camera calibration with active standard Gaussian stripes for 3D measurement;Measurement;2024-06

3. Feasibility of the Hand–Eye Algorithm in Sensor-to-Sensor Calibration of Wearable Devices;IEEE Sensors Journal;2024-03-01

4. ArTuga: A novel multimodal fiducial marker for aerial robotics;Robotics and Autonomous Systems;2023-05

5. Motion-Based Extrinsic Sensor-to-Sensor Calibration: Effect of Reference Frame Selection for New and Existing Methods;Sensors;2023-04-04

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