Robust Data Association Against Detection Deficiency for Semantic SLAM
Author:
Affiliation:
1. Biomimetic and Intelligent Robotics Laboratory (BIRL), Guangdong University of Technology, Guangzhou, China
2. Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China
Funder
National Natural Science Foundation of China
Leading Talents of Guangdong Province Program
Guangdong Province Special Fund for Modern Agricultural Industry Common Key Technology Research and Development Innovation Team
Program for Guangdong Yangfan Innovative and Entrepreneurial Teams
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/8856/10381526/10011152.pdf?arnumber=10011152
Reference33 articles.
1. Advances in Inference and Representation for Simultaneous Localization and Mapping
2. CubeSLAM: Monocular 3-D Object SLAM
3. EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
4. QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM
5. Robust Improvement in 3D Object Landmark Inference for Semantic Mapping
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