ADBSCAN Algorithm with Intel® RealSense™ Camera Input Demo#

This tutorial describes how to run the ADBSCAN algorithm from Intel® RealSense™ camera input.

Prerequisites#

Complete the get started guide before continuing.

Install#

Install ros-jazzy-adbscan-ros2 Deb package from Intel® Autonomous Mobile Robot APT repository

sudo apt update
sudo apt install ros-jazzy-adbscan-ros2

sudo apt update
sudo apt install ros-humble-adbscan-ros2

Install the following package with ROS 2 bag files in order to publish point cloud data from 2D LIDAR or Intel® RealSense™ camera

sudo apt install ros-jazzy-bagfile-laser-pointcloud

sudo apt install ros-humble-bagfile-laser-pointcloud

Run the demo with Intel® RealSense™ camera#

ros2 launch adbscan_ros2 play_demo_realsense_launch.py

Expected result: ROS 2 rviz2 starts, and you will see how ADBSCAN interprets Intel® RealSense™ camera data coming from the ROS 2 bag (click on the video to play):

open-edge-platform/edge-ai-suites

ADBSCAN ROS2 Node Output description#

The output is published to the ROS2 topic obstacle_array, and the message format is nav2_dynamic_msgs::msg::ObstacleArray.

To view the messages being published to the obstacle_array topic, you can use the following command:

ros2 topic echo /obstacle_array

How to Visualize the Output in RViz

  1. Launch RViz:

    • Open a terminal and start RViz by typing:

      rviz2

  2. Subscribe to the Topic:

    • In RViz, add a new display by clicking on Add in the Displays panel.

    • Select MarkerArray from the list of available display types.