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3D LIDAR Data Application for Urban Morphogenesis Multi-agent Vector Based Geosimulation
Computational Science and Its Applications – ICCSA 2008 - Lecture Notes in Computer Science
◽
10.1007/978-3-540-69839-5_14
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2008
◽
pp. 179-193
Author(s):
Vitor Silva
◽
Corinne Plazanet
◽
Cláudio Carneiro
◽
François Golay
Keyword(s):
Lidar Data
◽
Data Application
◽
Multi Agent
◽
3D Lidar
Download Full-text
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Cited By
References
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
IEEE Transactions on Computational Imaging
◽
10.1109/tci.2021.3111572
◽
2021
◽
pp. 1-1
Author(s):
Abderrahim Halimi
◽
Aurora Maccarone
◽
Robert Lamb
◽
Gerald S. Buller
◽
Stephen Mclaughlin
Keyword(s):
Single Photon
◽
Lidar Data
◽
Underwater Imaging
◽
Bayesian Reconstruction
◽
Data Application
◽
3D Lidar
Download Full-text
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods
IEEE Transactions on Intelligent Transportation Systems
◽
10.1109/tits.2021.3076844
◽
2021
◽
pp. 1-19
Author(s):
Biao Gao
◽
Yancheng Pan
◽
Chengkun Li
◽
Sibo Geng
◽
Huijing Zhao
Keyword(s):
Semantic Segmentation
◽
Lidar Data
◽
3D Lidar
Download Full-text
Incorporation of Morphological Properties of Buildings’ Descriptors Computed from GIS and LIDAR Data on an Urban Multi-agent Vector Based Geo-simulator
Computational Science and Its Applications – ICCSA 2009 - Lecture Notes in Computer Science
◽
10.1007/978-3-642-02454-2_15
◽
2009
◽
pp. 205-220
◽
Cited By ~ 3
Author(s):
Cláudio Carneiro
◽
Vitor Silva
◽
François Golay
Keyword(s):
Morphological Properties
◽
Lidar Data
◽
Multi Agent
Download Full-text
Student Session: Practical Insights on Acceleration for 3D Lidar Data Processing
2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
◽
10.1109/rtcsa50079.2020.9203651
◽
2020
◽
Author(s):
Iljoo Baek
◽
Kamal Fuseini
◽
Ragunathan Raj Rajkumar
Keyword(s):
Data Processing
◽
Lidar Data
◽
3D Lidar
Download Full-text
Spectral mapping methods applied to LiDAR data: Application to fuel type mapping
International Journal of Applied Earth Observation and Geoinformation
◽
10.1016/j.jag.2018.08.020
◽
2019
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Vol 74
◽
pp. 159-168
◽
Cited By ~ 8
Author(s):
Margarita Huesca
◽
David Riaño
◽
Susan L. Ustin
Keyword(s):
Lidar Data
◽
Fuel Type
◽
Spectral Mapping
◽
Type Mapping
◽
Data Application
Download Full-text
A 3D LiDAR Data-Based Dedicated Road Boundary Detection Algorithm for Autonomous Vehicles
IEEE Access
◽
10.1109/access.2019.2902170
◽
2019
◽
Vol 7
◽
pp. 29623-29638
◽
Cited By ~ 5
Author(s):
Pengpeng Sun
◽
Xiangmo Zhao
◽
Zhigang Xu
◽
Runmin Wang
◽
Haigen Min
Keyword(s):
Autonomous Vehicles
◽
Boundary Detection
◽
Detection Algorithm
◽
Lidar Data
◽
3D Lidar
Download Full-text
Object recognition in 3D lidar data with recurrent neural network
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
◽
10.1109/cvpr.2009.5204114
◽
2009
◽
Cited By ~ 1
Author(s):
D.V. Prokhorov
Keyword(s):
Neural Network
◽
Object Recognition
◽
Recurrent Neural Network
◽
Lidar Data
◽
3D Lidar
Download Full-text
A Fast Approach for Vehicle-Like Region Proposal Based on 3D Lidar Data
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics
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10.1109/ihmsc.2015.239
◽
2015
◽
Cited By ~ 2
Author(s):
Zhiyu Wang
◽
Bin Dai
◽
Hao Fu
Keyword(s):
Lidar Data
◽
Fast Approach
◽
3D Lidar
Download Full-text
An algorithm of fast index constructing and neighbor searching for 3D LiDAR data
10.1117/12.2019658
◽
2013
◽
Cited By ~ 1
Author(s):
YiCong Feng
◽
MinYi Cen
◽
TongGang Zhang
Keyword(s):
Lidar Data
◽
3D Lidar
Download Full-text
New approach of imagery generation and target recognition based on 3D LIDAR data
2009 9th International Conference on Electronic Measurement & Instruments
◽
10.1109/icemi.2009.5274790
◽
2009
◽
Cited By ~ 1
Author(s):
Jinhui Lan
◽
Zhuoxun Shen
Keyword(s):
Target Recognition
◽
Lidar Data
◽
New Approach
◽
3D Lidar
Download Full-text
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