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LiDAR Semantic Segmentation

On‑device LiDAR point cloud semantic segmentation with TFLite

A sample app for Ubuntu demonstrating semantic segmentation of LiDAR point clouds via TFLite Runtime. It projects a scan into a range image, classifies every point on‑device, and renders a color‑coded bird's‑eye view and range image to a minimal web interface or an image file, suitable for embedded applications.

1. Choose a compatible model
2. Get source code and dependencies
3. Build and run app

Information

Operating System

Ubuntu 24.04+

Language

Python

Runtime

TFLite

Use Case

Semantic Segmentation

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