Real-Time Driving Scene Understanding via Efficient 3-D LIDAR Processing
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea
Funder
Korea Institute for Advancement of Technology
Korea Government (MOTIE)
Yonsei Signature Research Cluster Program of 2022
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09853620.pdf?arnumber=9853620
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1. Morphing and Sampling Network for Dense Point Cloud Completion
2. Parallel Poisson disk sampling
3. Fast Point Feature Histograms (FPFH) for 3D registration
4. Shape Classification Using the Inner-Distance
5. Point Transformer
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