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
Compatible Models
Information
Operating System
Ubuntu 24.04+Language
PythonRuntime
TFLite
Use Case
Semantic Segmentation
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