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Isaac ROS 3D scene reconstruction and mapping

Isaac ROS 3D scene reconstruction and mapping official website link：https://nvidia-isaac-ros.github.io/repositories_and_packages/isaac_ros_nvblox/index.html

Overview​

Isaac ROS Nvblox contains ROS 2 packages for 3D reconstruction and cost maps for navigation.isaac_ros_nvbloxprocesses depth and pose to reconstruct a 3D scene in real-time and outputs a 2D costmap for Nav2. The costmap is used in planning during navigation as a vision-based solution to avoid obstacles.

isaac_ros_nvbloxis designed to work with depth-cameras and/or 3D LiDAR. The package uses GPU acceleration to compute a 3D reconstruction and 2D costmaps using nvblox, the underlying framework-independent C++ library.

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Quick Experience​

To simplify development, we primarily use the Isaac ROS Dev Docker image and demonstrate the effects there. This demonstration does not require any camera device installation; it simulates the data stream from a camera by playing a rosbag file.

Note: If you wish to install on your own device or connect a camera to develop other features, please refer to the Isaac ROS official website and connect to an NVIDIA-specified camera model for your own development.

Open a terminal and enter the working directory.

cd ${ISAAC_ROS_WS}/src

Enter the Isaac ROS Dev Docker container.

cd ${ISAAC_ROS_WS}/src/isaac_ros_common && \
./scripts/run_dev.sh

Run the following startup command.

ros2 launch nvblox_examples_bringup isaac_sim_example.launch.py \
rosbag:=${ISAAC_ROS_WS}/isaac_ros_assets/isaac_ros_nvblox/quickstart \
navigation:=False

Run Results

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