What we do

What we do

Automotive industry

To make autonomous driving as safe as possible we evaluate data for neural networks.

2D

Bounding Boxes

Rectangles to enclose a specific object or region. Provides tracking of different classes like cars, pedestrians or signs.

Object Tagging

Object tags provide specific information about an input image. Every object has its own requirements that need to be considered.

Semantic Segmentation

Aims to make the class prediction for an entire input image. To reach this goal each pixel is labeled with the specified color of its object.

Full Image Tagging

Full image tags provide general information about an input image such as environment and weather conditions.

Skeleton Annotations

Visualizes human movements for a static input image by annotating different body parts. Is used for predicting motion sequence of a pedestrian.

Road Model Segmentation And Tagging

Aims to make the lane prediction for an entire input image. To reach this goal each lane is labeled with the specified color.

3D

Semantic Segmentation

Aims to make the class prediction in 3D LiDAR space. To reach this goal each point is labeled with the specified color of its object.

Bounding Boxes And Object Tagging

Cuboids to enclose a specific object or region in 3D LiDAR space. Object tags provide specific information about a LiDAR cloud. Every object has its own requirements that need to be considered.

Evaluation

2D Bounding Box
3D LiDAR Bounding Box