Scale AI is pleased to announce the launch of Sensor Fusion Segmentation -
Scale’s endpoint for point cloud segmentation.
Sensor Fusion Viewer rendering a scene from nuScenes
Released at CVPR 2019, Sensor Fusion Segmentation provides the highest
precision for annotating complex objects that cannot be easily described with
LiDAR cuboid labeling. Examples include vegetation, smoke/exhaust,
splashes/puddles, rain and reflections.
Fog
Smoke/Exhaust
Vegetation
Trucks with open backs
Reflections
Splashes & Puddles
Semantic scene understanding is important for a variety of applications,
particularly autonomous driving. Rigorously tested by a handful of Scale’s
customers during a private beta, Sensor Fusion Segmentation annotation
provides fine-grained understanding of surfaces and objects in a 3D point
cloud.
Take a look below, for how we helped the Toyota Research Institute (TRI)
accelerate their research projects by giving them greater flexibility and the
ability to amend workflows.
Since starting its work with Scale, TRI has been able to support four large
annotation pipelines without significantly increasing the size of their team.
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