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DB-TSDF is a high-efficiency, CPU-only volumetric mapping framework based on directional bitmask encoding of Truncated Signed Distance Fields (TSDF). It fuses LiDAR point clouds into dense 3D maps in real time, offering constant per-scan update cost, high-resolution reconstructions, and full ROS 2 integration.

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DB-TSDF: Directional Bitmask-based Truncated Signed Distance Fields for Efficient Volumetric Mapping

A lightweight CPU-only volumetric mapping system based on Truncated Signed Distance Fields (TSDF).
It integrates LiDAR point clouds into a voxel grid using directional kernels and bitmask encoding, enabling real-time 3D reconstruction without GPU acceleration.

Example reconstruction


Overview

This framework incrementally fuses LiDAR data into a dense voxel grid:

  • Directional kernels model LiDAR beam geometry and occlusion.
  • Bitmask encoding ensures constant-time updates per scan.
  • Signed distance representation differentiates free and occupied space.
  • Multi-threaded C++ implementation inside ROS 2.

The design emphasizes predictable runtime, high resolution, and full CPU compatibility, making it suitable for robotic platforms where GPU resources are limited.

About

DB-TSDF is a high-efficiency, CPU-only volumetric mapping framework based on directional bitmask encoding of Truncated Signed Distance Fields (TSDF). It fuses LiDAR point clouds into dense 3D maps in real time, offering constant per-scan update cost, high-resolution reconstructions, and full ROS 2 integration.

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