1.0.4

Remove topic slash prefix

CHANGELOG.rst

@@ -2,6 +2,30 @@
 Changelog for package multi_object_tracking_lidar
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
+1.0.4 (2021-08-29)
+------------------
+* Merge pull request `#46 <https://github.com/praveen-palanisamy/multiple-object-tracking-lidar/issues/46>`_ from praveen-palanisamy/rm-topic-slash-prefix
+  Remove topic slash prefix
+* Apply clang-format-10
+* Rm slash prefix (deprecated in TF2)
+* Add note to filter NaNs in input point clouds
+* Contributors: Praveen Palanisamy
+
+1.0.3 (2020-06-27)
+------------------
+* Merge pull request #26 from artursg/noetic-devel
+  C++11 --> C++14 to allow compiling with later versions of PCL, ROS Neotic
+* Compiles under ROS Noetic
+* Merge pull request #25 from praveen-palanisamy/add-license-1
+  Add MIT LICENSE
+* Add LICENSE
+* Merge pull request #24 from mzahran001/patch-1
+  Fix broken hyperlink to wiki page in README
+* Fixing link error
+* Updated README to make clustering approach for 3D vs 2D clear #21
+* Added DOI and citing info
+* Contributors: Artur Sagitov, Mohamed Zahran, Praveen Palanisamy
+
 1.0.2 (2019-12-01)
 ------------------
 * Added link to wiki pages

CMakeLists.txt

@@ -1,7 +1,7 @@
 cmake_minimum_required(VERSION 2.8.3)
 project(multi_object_tracking_lidar)
 
-set(CMAKE_CXX_FLAGS "-std=c++0x ${CMAKE_CXX_FLAGS}")
+set(CMAKE_CXX_STANDARD 14)
 ## Find catkin macros and libraries
 ## if COMPONENTS list like find_package(catkin REQUIRED COMPONENTS xyz)
 ## is used, also find other catkin packages

README.md

@@ -34,6 +34,9 @@ The input point-clouds can be from:
 3. A point cloud dataset or 
 4. Any other data source that produces point clouds
 
+**Note:** This package expects valid point cloud data as input. The point clouds you publish to the "`filtered_cloud`" is **not** expected to contain NaNs. The point cloud filtering is somewhat task and application dependent and therefore it is not done by this module. 
+PCL library provides `pcl::removeNaNFromPointCloud (...)` method  to filter out NaN points. You can refer to [this example code snippet](https://github.com/praveen-palanisamy/multiple-object-tracking-lidar/issues/29#issuecomment-672098760) to easily filter out NaN points in your point cloud.
+
 ## Citing
 
 If you use the code or snippets from this repository in your work, please cite:

package.xml

@@ -1,7 +1,7 @@
 <?xml version="1.0"?>
 <package>
   <name>multi_object_tracking_lidar</name>
-  <version>1.0.2</version>
+  <version>1.0.4</version>
   <description>ROS package for Multiple objects detection, tracking and classification from LIDAR scans/point-clouds</description>
 
   <!-- One maintainer tag required, multiple allowed, one person per tag -->