TOIDAR: Toys for processing LIDAR point clouds

TOIDAR is an experimental LIDAR point cloud processing tool suite developed at TO&I (the chair of design informatics, TU Delft Faculty of Architecture ) by Pirouz Nourian. This tool suite is made as a laboratory set up for the course GEO1004, directed by Dr. Sisi Zlatanova, Geomatics Master Track at TU Delft, Faculty of Architecture and the Built Environment. More information about this tool will be soon made available here.

I had a chance to work with a group of brilliant Geomatics students who contributed to the code of these tools: namely, (in alphabetic order)Tom Broersen, Jiale (Carl) Chen, Martin Dennemark, Florian Fichtner, Martijn Koopman, Ivo de Liefde, Marco Lam, Maarten Pronk, Stella Psomadaki, Rusne Sileryte, Dimitris Zervakis, Kaixuan Zhou.

https://github.com/Pirouz-Nourian/TOIDAR

My lecture notes on the subject: http://www.slideshare.net/PirouzNourian

TOIDAR by Pirouz Nourian is licensed under a Creative Commons Attribution 4.0 International License.

Based on a work at https://github.com/Pirouz-Nourian/TOIDAR.

Permissions beyond the scope of this license may be available at https://sites.google.com/site/pirouznourian/toidar?pli=1.

Basic features of TOIDAR are the followings:

1. extracting normal vectors for point clouds

2. classifying points based on slope, aspect and elevation

3. segmenting points for 3D reconstruction

4. generating voxel models