Lidar/Point Cloud Classification to Ground/Vegetation/Structures

A solar company is in need of a developer who is able to program software relevant to lidar data. We house our LiDAR data within PostgreSQL. Although, we are looking at an approach of a few command line utilities on Ubuntu that can be used to process X,Y,Z data into classified points/meshes as ground/vegetation/structures.

This will be part time to start and as a testing phase. Once you are qualified for full time, we will then move you to a full time/pay scenario. The starting pay for this work is low for the test period and will be negotiated once you qualify based on your proven skills and speed.

Below is a brief description of one of our first projects.

I am a consultant working for a solar company in Los Angeles. We are looking for a programmer who can work part time on a project with us which requires classification of LiDAR data.

If you are interested or know anyone who could be an applicant, please get in touch. We are going to need part time to start and then once qualified, the individual will become full time.

You can reach me on my cell atUpgrade to see actual infoor message me through here.

This is a brief description of the first project:
We need a command line tool for lidar data which has been extracted as X,Y,Z coordinates with pdal into postgresql. The command line tool willl accept the ID, X, Y, Z and return the classified points as ground, vegetation or structure (building) classifications.

The lidar set consists of residential areas which have houses, trees, various vegetation and other structures.

The data will be passed into the application 1000 square or more. The application must accept ID, X,Y,Z from STDIN and pass the results to STDOUT. The input and output should be stream compatible as this will be interfaced with Node JS.

There should be several command line options:
-ground for running ground classification
-vegetation for vegetation classification
-structure for structure classification

Each main option should also include sub-options for optimization.

This is the first project of several and is primarily a test for skills and speed in development in this area (like an intro job for further work)

Feel free to use any existing libraries such as PDAL, PCL, Mathlab. Sample datasets can be provided needed.

The target system this will be used on is Ubuntu 16 64bit.