Scale AI is pleased to announce the launch of Sensor Fusion Segmentation - Scale’s endpoint for point cloud segmentation.<iframe class="ql-video" frameborder="0" allowfullscreen="true" src="https://lidar-now.scale.com/examples/semseg" height="100%" width="100%"></iframe> 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.<img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/34fe7aaa-a1a6-4737-823a-ffe19dbe8b00/public" alt="fog seen through LiDAR">Fog<img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/bbbb9168-544a-4866-b096-9bb07cf87c00/public" alt="fog seen through LiDAR">Smoke/Exhaust<img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/6cd0ad4c-0d0a-48c6-65f3-e18ac64a1700/public" alt="vegetation seen through LiDAR">Vegetation<img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/ae620a78-79bd-4c4c-2ade-0e7de9ddf500/public" alt="Trucks with open backs seen through LiDAR">Trucks with open backs<img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/9cb13a70-42a2-4559-1c44-a5b34bebbc00/public" alt="reflections seen through LiDAR">Reflections<img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/dff8770c-e1cc-4e77-8d73-d35007f3f200/public" alt="Splashes &amp; Puddles seen through LiDAR">Splashes &amp; 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.<iframe class="ql-video" frameborder="0" allowfullscreen="true" src="https://www.youtube.com/embed/2XURB1nE11w"></iframe> Since starting its work with Scale, TRI has been able to support four large annotation pipelines without significantly increasing the size of their team.<a href="https://scale.ai/sensor-fusion-segmentation" rel="noopener noreferrer" target="_blank">Learn More</a>