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Presentations
Previous Pointcloud Workshop Presentations
Deep Learning for Semantic Segregation of 2D and 3D Data
: Dr Michael Ying Yang
Spatial Intelligence and Virtual Restoration of Grotto Statues
: Professor Miaole Hou
Construction Monitoring using LiDAR Technology
: Professor Zhizhong Kang
Creating a Voxel Structure for 3D Point Cloud processing with Python
: Florent Poux
Project INDIGO - document, disseminate & analyse a graffiti-scape
(external link)
:
Benjamin Wild
LiDAR for Self-driving Vehicles and Traditional Heritage Documentation:
A/Prof Kourosh Khoshelham
Saliency Based Processing of 3D Pointclouds
: Reuma Arav
Current LiDAR projects
: Dr Jack Barton
Real-time Construction Progress Monitoring Through Robotic Field Mapping
: Mohammad Hashim Ibrahimkhil
3D Urban Tree Modelling from Pointclouds for Urban Microclimate Simulation
: Han Xu
Representing Dynamic Realities with Pointcloud Models: A Teaching Approach
: Dr Carlos Bartesaghi Koc
Using Synthetic LiDAR Data for Pedestrian Detection
: Mitko Aleksandrov
3D indoor reconstruction
: Dr Shayan Nikoohemat
Points, Clouds, Beams
: Taskin Özkan
A Comparison of Deep Learning Methods for Airborne LiDAR Pointcloud Classification
: Nan Li
Grammar treatment for Pointcloud
: Josafat Guerrero
Digital Adoption in Efficiency Improvement in Prefabricated Construction
: Mudan Wang
Open Source Photogrammetric Software
: Harshit
Automated 3D Vegetation Modelling of Heathland in the Blue Mountains
: Nina Homainejad
Two New Pedestrian Navigation Path Options based on Semi indoor Space
: Jinjin Yan
See all the above on the
GRID YouTube
Channel.
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