Published May 13, 2020
| Version v1
Presentation
Open
mocalum: python package for Monte-Carlo lidar uncertainty modeling
Description
This is a presentation about mocalum
:
https://github.com/niva83/mocalum
mocalum
is a python package for Monte Carlo based lidar uncertainty modeling. It has the following features:
- Fast Monte Carlo uncertainty modeling
- Simulation of single or multi lidar configurations
- Configuration of arbitrary trajectories for single and multi lidars
- Configuration of IVAP (sector-scan) trajectory for single lidar
- 3D or 4D / uniform or turbulent flow field generation
- Sampling of correlated or uncorrelated uncertainty terms
- Built-in 2nd order kinematic model for calculation of trajectory timing
- 3D or 4D interpolation/projection of flow on lidar(s) line-of-sight(s)
- xarray datasets enriched with metadata
Files
mocalum_intro.pdf
Files
(1.3 MB)
Name | Size | Download all |
---|---|---|
md5:a469e7dac6be1c53d9725c0cd9a7c5c5
|
1.3 MB | Preview Download |