From 983e1283996b403a24c154ae75295785fd316567 Mon Sep 17 00:00:00 2001
From: SLAMWang <50091628+SLAMWang@users.noreply.github.com>
Date: Wed, 13 Apr 2022 08:47:02 +0800
Subject: [PATCH] Update README.md

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 README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/README.md b/README.md
index ec23f28..3daf539 100644
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@@ -3,6 +3,10 @@ This is an open source ROS package for real-time 6DOF SLAM using a 3D LIDAR.
 
 It is based on hdl_graph_slam and the steps to run our system are same with hdl-graph-slam.
 
+Our paper is under review and will be released soon.
+FD-SLAM: Feature&Distribution-based 3D LiDAR SLAM method based on Surface Representation Refinement
+
+
 ## hdl_graph_slam
 
 [hdl_graph_slam](https://github.com/koide3/hdl_graph_slam) is an open source ROS package for real-time 6DOF SLAM using a 3D LIDAR. It is based on 3D Graph SLAM with NDT scan matching-based odometry estimation and loop detection. It also supports several graph constraints, such as GPS, IMU acceleration (gravity vector), IMU orientation (magnetic sensor), and floor plane (detected in a point cloud). We have tested this package with Velodyne (HDL32e, VLP16) and RoboSense (16 channels) sensors in indoor and outdoor environments.