Continental Case Study: Accelerating 3D Ground Truth Production

Industry

Automotive ADAS & Perception Systems

Challenge

Continental's perception team needed to scale high-quality 3D ground truth from LiDAR point clouds—fast. Manual 3D labeling was resource-intensive, required deep expertise, and internal teams alone couldn't keep pace with project timelines.

Results

With Kognic's hybrid workforce model, Continental rapidly ramped up 3D annotation capacity while maintaining operational control. The team delivered successful customer demonstrations and freed up engineers to focus on perception development instead of annotation logistics.

Key Product

Kognic Platform with hybrid workforce support, LiDAR & camera data pipeline

continental.com
Customer-case-continental_headquarters 2

About Continental

Continental is one of the world's leading automotive suppliers, developing cutting-edge perception systems for advanced driver assistance (ADAS) and autonomous driving. Their R&D teams require massive volumes of precisely annotated 3D data to train and validate perception algorithms that keep vehicles—and people—safe.

Hybrid workforce: Scaled annotation without losing control

Full pipeline: LiDAR + camera data, upload to delivery

Months, not years: Rapid ramp-up from POC

**Gergely Barot Kovacs** *Product Manager, Perception Development* Continental
Gergely Barot Kovacs
Product Manager, Perception Development @ Continental
Features provided by the platform were among the best of what the competitors were offering, but what was outstanding is the flexibility and cost/value provided by the solution.

The Challenge

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:

  • Handle complex LiDAR and multi-sensor data
  • Scale annotation capacity without sacrificing quality
  • Integrate smoothly with existing workflows
  • Provide flexibility in workforce management

The Solution

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.

The Results

With Kognic, Continental achieved:

  • Rapid ramp-up of 3D ground truth generation processes
  • Successful customer demonstrations powered by their enhanced perception stack
  • Greater efficiency in manual 3D annotation and quality assurance
  • Maintained operational control while achieving the scalability they needed

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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