RoboSense rs_driver
- Software
- Perception
- Driver or SDK
A driver library that receives and decodes point cloud data from RoboSense LiDAR sensors, either from a live device or from recorded PCAP files.
Made by RoboSense (Suteng Innovation Technology Co., LTD), China (checked on github.com/RoboSense-LiDAR (opens in a new tab)).
Source on GitHub: github.com/RoboSense-LiDAR/rs_driver (opens in a new tab). Facts read at commit 897b14d (opens in a new tab).
Licenses
- Code
- BSD-2-Clause (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (BSD-2-Clause) at commit 897b14d (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Connects to supported RoboSense LiDARs over the network and outputs decoded point clouds.
- Parses PCAP capture files to produce point clouds from recorded LiDAR data.
- Supports a long list of RoboSense LiDAR models, including mechanical, solid-state and hybrid types.
- Can optionally transform point clouds and build a PCL-based visualization tool.
- Is written in C++ and intended to be integrated into other systems as a library, via CMake or as a submodule.
Written by Robotheca from the project's README (opens in a new tab) at commit 897b14d.
Getting started
- Difficulty
- Intermediate
- Hardware it needs, as the project states it
- Ubuntu 16.04, 18.04, 20.04 or 22.04 with gcc 4.8+, or Windows with MSVC (tested on Win10 and VS2019); a compiler supporting C++14 is needed. Optional dependencies are libpcap, Eigen3, PCL and Boost. A RoboSense LiDAR is needed for online use.
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 10 Jul 2026 on main
- Latest release
- v1.5.20 (10 Jul 2026)
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.