Converting Depth Images and Point Clouds for Feature-Based Pose Estimation-Reference-Cited by-同舟云学术

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Converting Depth Images and Point Clouds for Feature-Based Pose Estimation

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
Short-container-title:

Author:

Lösch Robert¹,Sastuba Mark²,Toth Jonas¹,Jung Bernhard¹

Affiliation:

1. Institute of Computer Science, Technical University Bergakademie,Freiberg,Germany

2. German Centre for Rail Traffic Research at the Federal Railway Authority,Germany

Funder

European Institute of Innovation and Technology (EIT)

EU Framework Programme for Research and Innovation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341758.pdf?arnumber=10341758

Reference24 articles.

1. A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping

2. LocNet: Global Localization in 3D Point Clouds for Mobile Vehicles

3. LOL: Lidar-only Odometry and Localization in 3D point cloud maps*

4. SegMatch: Segment based place recognition in 3D point clouds

5. Extrinsic self calibration of a camera and a 3D laser range finder from natural scenes

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing UAV Operational Efficiency through Cloud Computing and Autopilot System Integration;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29

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