S-MKI: Incremental Dense Semantic Occupancy Reconstruction Through Multi-Entropy Kernel Inference-Reference-Cited by-同舟云学术

S-MKI: Incremental Dense Semantic Occupancy Reconstruction Through Multi-Entropy Kernel Inference

Published:2022-10-23 Issue: Volume: Page:
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Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Deng Yinan¹,Wang Meiling¹,Wang Danwei²,Yue Yufeng¹

Affiliation:

1. School of Automation, Beijing Institute of Technology,Beijing,China,100081

2. School of Electrical and Electronic Engineering, Nanyang Technological University,Singapore

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982101.pdf?arnumber=9982101

Reference24 articles.

1. Building 3D semantic maps for mobile robots using RGB-D camera

2. A sparse covariance function for exact gaussian process inference in large datasets;melkumyan;Twenty-First International Joint Conference on Artificial Intelligence,2009

3. 3D Scene Understanding by Voxel-CRF

4. Automatic extrinsic calibration for lidar-stereo vehicle sensor setups

5. Semantic 3D occupancy mapping through efficient high order CRFs

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