I am excited to introduce a new ROS2 package for dynamically interpolating 3D LiDAR point clouds. This package provides a powerful and efficient way to enhance the quality and density of your point cloud data in real-time.
Key Features:
- Dynamic Interpolation: Fine-tune interpolation parameters on-the-fly to achieve dense and continuous point clouds.
- Noise Reduction & Resampling: Clean up noisy data and generate smoother representations.
- High Performance: Optimized C++ implementation with PCL and Eigen for real-time processing.
- Multiple Interpolation Methods: Choose from various techniques including:
- Bilinear
- Bilateral
- Edge-aware
- Spline
- Nearest neighbor
- ROS2 Independent Logic: Core logic implemented in pure C++ with PCL and Eigen, ensuring flexibility and portability.
See it in Action:
Video demonstrating the package with Foxglove visualizer
Package repository:
Applications:
Explore potential use cases in my previous post
This package is designed to be a valuable tool for researchers and developers working with 3D LiDAR data in ROS2. We encourage you to try it out and provide feedback!