Case Study: Outrider achieves consistent multi-sensor labeling for autonomous yard operations with Segments.ai

Outrider Annotating a 3D scene with linked labels across point clouds and images

Outrider, a leader in autonomous yard operations, needed to upgrade its perception models from 2D to 3D for its autonomous trucks. Their existing labeling platform was restricted to 2D, which lacked the necessary depth and dimensional data for recognizing trailers and their specific features. The challenge was to find a best-in-class labeling platform capable of handling data from 10 cameras and 4 LiDARs to solve complex issues like reading trailer IDs and pinpointing connection points.

Segments.ai provided a solution by unifying all labeling projects on its platform. Its multi-sensor capabilities allowed the team to project 3D labels to 2D scenes, accelerating the process and ensuring labels were linked consistently across sensors and time. Using the Segments.ai labeling service, Outrider could swiftly scale its workforce for both labeling and reviewing, meeting the rising demands of its expanding operations and saving time and money through more accurate annotations.

Outrider