> For the complete documentation index, see [llms.txt](https://docs.supervisely.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.supervisely.com/labeling/labeling-toolbox/sensor-fusion.md).

# 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)