# Sensor-fusion

{% hint style="info" %}
[MBPTrack Tutorial - SOTA 3D Point Cloud Object Tracking in 2023 for LiDAR & Radar](https://supervisely.com/labeling-toolbox/3d-lidar-sensor-fusion/#context)
{% endhint %}

Additionally to a [single point cloud](/labeling/labeling-toolbox/3d-point-clouds.md) and [episodes point clouds](/labeling/labeling-toolbox/3d-point-cloud-episodes-2/3d-point-clouds-episodes-1.md) toolboxes, Supervisely allows you to provide additional photo and video context for accurate labeling.

Supervisely automatically calculates correlation between 3D space and 2D context and projects your labeled objects on it, letting you achieve unprecedented quality of labeling.”

![](/files/T7OaAgS8f9xgeiPCqOJM)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.supervisely.com/labeling/labeling-toolbox/sensor-fusion.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.