<div dir="ltr"><div class="gmail_default" style="font-size:small">I found this on the Weekly Robotics newsletter</div><div class="gmail_default" style="font-size:small">...Pat</div><div class="gmail_default" style="font-size:small"><br></div><h4 id="gmail-m_-5759958326997259402lego-loam" style="margin:0px;padding:0px;color:rgb(32,32,32);font-family:Helvetica;font-size:18px;line-height:22.5px">LeGO-LOAM</h4><p style="margin:10px 0px;padding:0px;color:rgb(32,32,32);font-family:Helvetica;font-size:12px;line-height:18px"><a href="https://weeklyrobotics.us19.list-manage.com/track/click?u=cb7c3088cd0ebb570a671b94b&id=d3b6b81d44&e=c8c9755acc" target="_blank" style="color:rgb(32,32,32)">GitHub (RobustFieldAutonomyLab)</a></p><div class="gmail_default" style="font-size:small"><span style="color:rgb(32,32,32);font-family:Helvetica;font-size:12px">“This repository contains code for a lightweight and ground optimized lidar odometry and mapping (LeGO-LOAM) system for ROS compatible UGVs. The system takes in point cloud from a Velodyne VLP-16 Lidar (placed horizontally) and optional IMU data as inputs. It outputs 6D pose estimation in real-time. A demonstration of the system can be found</span><span style="color:rgb(32,32,32);font-family:Helvetica;font-size:12px"> </span><a href="https://weeklyrobotics.us19.list-manage.com/track/click?u=cb7c3088cd0ebb570a671b94b&id=6a48d64c18&e=c8c9755acc" target="_blank" style="font-family:Helvetica;font-size:12px;color:rgb(32,32,32)">here</a><span style="color:rgb(32,32,32);font-family:Helvetica;font-size:12px">”</span></div><div class="gmail_default" style="font-size:small"><br></div></div>