From 0c03cfe476f109349c35175686ccdf83f6eabcf7 Mon Sep 17 00:00:00 2001
From: Praveen Palanisamy <4770482+praveen-palanisamy@users.noreply.github.com>
Date: Sat, 7 Sep 2019 11:13:05 -0700
Subject: [PATCH] Updated readme with suuported pointcloud sources

---
 README.md | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 6c0208b..6ff8b98 100644
--- a/README.md
+++ b/README.md
@@ -21,4 +21,11 @@ Follow the steps below to use this (`multi_object_tracking_lidar`) package:
 1. Add the catkin workspace to your ROS environment: `source ~/catkin_ws/devel/setup.bash`
 1. Run the `kf_tracker` ROS node in this package: `rosrun multi_object_tracking_lidar kf_tracker`
 
-If all went well, the ROS node should be up and running! As long as you have the point clouds (from 1. A real LiDAR or 2. A simulated LiDAR or 3. A point cloud dataset or 4. Any other data source that produces point clouds) published on to the `filtered_cloud` rostopic, you should see outputs from this node published onto the `obj_id`, `cluster_0`, `cluster_1`, …, `cluster_5` topics along with the markers on `viz` topic which you can visualize using RViz.
+If all went well, the ROS node should be up and running! As long as you have the point clouds published on to the `filtered_cloud` rostopic, you should see outputs from this node published onto the `obj_id`, `cluster_0`, `cluster_1`, …, `cluster_5` topics along with the markers on `viz` topic which you can visualize using RViz.
+
+### Supported point-cloud streams/sources:
+The input point-clouds can be from:
+1. A real LiDAR or 
+2. A simulated LiDAR or 
+3. A point cloud dataset or 
+4. Any other data source that produces point clouds