On-the-fly LiDAR processor and visualizer for Velodyne sensors.
Read point data directly from a Velodyne sensor on the fly:
olp --ip 192.168.1.201 --port 2368
The --ip
and --port
program flags are optional, the default values are shown above.
Read point data from a saved PCAP file:
olp --file datafile.pcap
To be able to read from file, the PCL dependency must be compiled with PCAP support (see How to compile).
The program currently supports the dynamic localization of acquired point clouds with GNSS data or through SLAM algorithms.
For further details and examples, see the guide on Localization and mapping with GNSS sensor.
An ICP (Iterative closest point) and a LOAM (LiDAR Odometry and Mapping) algorithm is supported for now, with the ICP producing a better result.
olp --file datafile.pcap --slamtype icp
The project uses some third-party dependencies:
- Any standard C++ compiler supporting language version C++14 or newer (e.g. GCC, Clang, MSVC).
- CMake is used as the build system of the project. Version 2.8 or newer is required.
- Boost is used as an extension to the C++ standard library. (Dependency of PCL anyway.) Version 1.60 or newer required.
- PCL is heavily used in point cloud processing and I/O management. Version 1.8 or newer is required.
- LASlib (optional), to export point clouds in LAS format.
- PCAP (optional), to read and "replay" previously recorded PCAP files of a Velodyne sensor.
- libpointmatcher (optional) for the ICP SLAM algorithm.
The complete compilation process depends on the system you are using (Linux, Mac OS X or Windows). See the platform-specific compilation guides below.
- Ubuntu
- MacOS
- Windows (no SLAM support!)
- Windows with WSL
Please read CONTRIBUTING.md for details on coding conventions.
This project is licensed under the BSD 3-Clause License - see the LICENSE file for details.