Estimation of Spatial Features in 3-D-Sensor Network Using Multiple LiDARs for Indoor Monitoring
Author:
Affiliation:
1. Shibaura Institute of Technology, Tokyo, Japan
2. Secure System Platform Research Laboratories, NEC Corporation, Tokyo, Japan
Funder
Japan Society for the Promotion of Science (JSPS) KAKENHI, Japan
Commissioned Research at the National Institute of Information and Communications Technology, Japan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10089784/10054498.pdf?arnumber=10054498
Reference59 articles.
1. Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems
2. XGBoost
3. A Review of Computer Vision Techniques for the Analysis of Urban Traffic
4. Random decision forests
5. Real-Time Data Selection and Merging for 3D-Image Sensing Network With Multiple Sensors
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1. Learning-Based Sampling Method for Point Cloud Segmentation;IEEE Sensors Journal;2024-08-01
2. Poster: Remote Visualization of LiDAR Data via Application-Level Network;2024 IEEE Vehicular Networking Conference (VNC);2024-05-29
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