3D Point Cloud Tools
Feed your perception models with an object’s 3D pose and attributes. Annotate objects like vehicles, vulnerable road users, traffic signs, traffic lights, etc.
- One-click cuboid
- Use interpolation between key frames for enhanced annotation efficiency
- Use static and dynamic labels to grab object properties for your detection and prediction models
Feed your drivable area models with ground truth annotation of curbs, road pavement and lane markers.
- Custom intensity sliders to facilitate object identification on low intensity points
- ML-ground detection for "Z" values attribution
Feed your drivable area models with ground truth annotation of traffic islands, over drivable objects, or any other object on the ground.
- Custom intensity sliders to facilitate object identification on low intensity points
- ML-ground detection for "Z" values attribution
Annotate objects in 3D point clouds and 2D RGB images with fused object ID to give you all the valuable information from multiple sensors.
- Sensor fusion between multiple sensor types, synchronizing all frame sequences
- Projection of 3D objects within the point cloud into 2D RGB images
Annotate each point in 3D point clouds to precisely capture and assign each point to the right object.
- Semantic segmentation and panoptic segmentation
- Instance annotation with complex taxonomies requirements
- Fused point cloud for faster annotation
Pre-annotations
Supports pre-annotations, including manual or model-generated labels for enhancing speed or annotation, or validate model’s performance.
Sensor Fusion
Supports multiple sensors with a fused sensor architecture, which syncs all the assets to enhance the data for annotation.
3D to 2D Projection
Projection of 3D objects within the point cloud into 2D RGB images.
Fixed World
World coordinate conversion. By providing the sensor's pose, our platform will convert your point clouds from local coordinates to world coordinates.
Automatic Ground Detection
Extending a classic morphological approach with semi-supervised learning for our automatic ground detection.
Custom Intensity Values
Color map visualization for intensity values and custom ranges for focusing the color map on lower-intensity objects.
Full Spectrum Labeling
Custom classes, multiple attributes per instance, and dynamic labels are available to meet your needs.
Efficient Annotation Platform
Linear interpolation and other advanced annotation tools enable rapid labeling of your moving object across multiple frames. Intensity points and other workspace enhancements, like visual feedback on your label selection, boost annotation efficiency and allow you to achieve high quality at scale.
