Explore the diverse landscapes and advanced LiDAR technology captured in our HeLiPR dataset!

🔍 See the HeLiPR LiDAR Variety
Dive into the dataset's multifaceted LiDAR variety with this informative GIF.

🌐 Understanding the HeLiPR Dataset's Necessity
Discover the challenges posed by heterogeneous LiDARs in our detailed image.

🛰️ Insight into Sensor Utilization
Get a closer look at our system setup and the sensors involved.

🌍 Diverse Scenarios Explored
Explore our collection of various sequences and environments through this visual guide.

🔗 Linking with the MulRan Dataset
Learn about the long-term place recognition capabilities in conjunction with the MulRan dataset.

Maintainer: Minwoo Jung ([email protected])

2023/12/06: Open another repository for Pointcloud processing, which name is HeLiPR-Pointcloud-Toolbox.

2023/12/05: We post some images to help readers understand the HeLiPR dataset.

2023/09/26: Link for paper now available (arxiv version)

2023/08/17: Link for HeLiPR dataset now available.

2023/08/15: Repository for HeLiPR file player now available.

We're diligently working to upload the dataset link. This paper is under-reviewed, but readers can be found our paper in arxiv. If user wants to utilize the undistortion or accumulation of pointcloud from .bin file, please visite the HeLiPR-Pointcloud-Toolbox.

Before utilizing the file player, it's crucial to have both the novatel-gps-msgs and livox custom messages. Ensure you install these drivers:

Replace 'version' with your appropriate ROS version (e.g., melodic, noetic).

sudo apt-get install ros-'version'-novatel-gps-driver

Visit the official Livox SDK repository on GitHub:

Livox ROS Driver on GitHub

Ensure that both drivers are correctly installed for seamless operation of the file player.

To set up the necessary workspace and clone the file player repository:

$ mkdir ~/catkin_ws
$ cd ~/catkin_ws
$ mkdir src
$ cd src
$ git clone https://github.com/rpmsnu/helipr_file_player.git
$ cd ~/catkin_ws/src/helipr_file_player

Compile and build the workspace:

$ cd ~/catkin_ws
$ catkin_make

To run the file player, make sure to source your workspace:

$ source devel/setup.bash
$ roslaunch file_player file_player.launch

Here's a step-by-step guide:

1. Click the 'Load' button.
2. Navigate and select the desired dataset folder.
3. Hit the player button to commence publishing data as ROS messages.
4. Use the 'Stop skip' button to skip intervals when the vehicle remains stationary. This feature enhances the user experience by focusing on significant data.
5. The loop button ensures that the data resumes playback from the beginning once completed.

• Jinyong Jeong: Original creator of the package.
• Giseop Kim, Seungsang Yun: Maintainers for different versions of the file player.

For any issues, queries, or contributions, please contact the maintainers.