maplab 2.0 – A Modular and Multi-Modal Mapping Framework-Reference-Cited by-同舟云学术

maplab 2.0 – A Modular and Multi-Modal Mapping Framework

Published:2023-02 Issue:2 Volume:8 Page:520-527
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Cramariuc Andrei¹^ORCID,Bernreiter Lukas¹^ORCID,Tschopp Florian²^ORCID,Fehr Marius³^ORCID,Reijgwart Victor¹^ORCID,Nieto Juan⁴^ORCID,Siegwart Roland¹^ORCID,Cadena Cesar¹^ORCID

Affiliation:

1. Autonomous Systems Lab, ETH Zurich, Zurich, Switzerland

2. Arrival Ltd, London, U.K.

3. Voliro, Zurich, Switzerland

4. Microsoft, Zurich, Switzerland

Funder

National Center of Competence in Research on Digital Fabrication

European Union's Horizon 2020 Research and Innovation Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9990971/09976204.pdf?arnumber=9976204

Reference52 articles.

1. Collaborative Robot Mapping using Spectral Graph Analysis

2. SuperPoint: Self-Supervised Interest Point Detection and Description

3. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

4. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

5. VersaVIS—An Open Versatile Multi-Camera Visual-Inertial Sensor Suite

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