An Efficient 3-D Point Cloud Place Recognition Approach Based on Feature Point Extraction and Transformer
Author:
Affiliation:
1. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, China
2. School of Instrumentation and Opto-Electronics Engineering, Beihang University, Beijing, China
Funder
Foundation of the State Key Laboratory of Coal Mining and Clean Utilization, China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09903457.pdf?arnumber=9903457
Reference46 articles.
1. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;arXiv 2010 11929,2020
2. Improved Stepup Method to Determine the Errors of Voltage Instrument Transformer With High Accuracy
3. LOAM: Lidar Odometry and Mapping in Real-time
4. LocNet: Global Localization in 3D Point Clouds for Mobile Vehicles
5. Scan Context: Egocentric Spatial Descriptor for Place Recognition Within 3D Point Cloud Map
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