Continental's perception development team faced a growing bottleneck: producing high-quality 3D ground truth data from LiDAR point clouds at the scale their projects demanded.
Without specialized tooling and automation, the annotation process proved time-consuming and resource-intensive. Manual 3D labeling requires deep expertise, and scaling internal teams alone couldn't keep pace with development timelines. The team needed a solution that could:
In late 2023, Continental's R&D team discovered Kognic through a proof-of-concept project. What set Kognic apart wasn't just feature parity with competitors—it was the flexibility and value the platform delivered.
Hybrid Workforce Model: Continental implemented a hybrid approach, combining Kognic-sourced annotators with their own internal labeling teams. This gave them the scalability of an external workforce while maintaining control over quality and operations.
Seamless Data Pipeline: Kognic's platform handled the complete data pipeline—uploading, processing, and annotating LiDAR point-cloud and camera data—without requiring Continental to overhaul their existing infrastructure.
Streamlined Task Management: Labeling task scheduling became more efficient, allowing the team to focus on perception development rather than annotation logistics.
With Kognic, Continental achieved:
The partnership enabled Continental to move faster on perception development without compromising on the quality of training data that safety-critical ADAS systems demand.
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