Creating accurate 3D ground truth data is crucial for training and validating perception systems. Continental, a global automotive technology leader, recently shared their success story in partnering with Kognic to overcome their 3D ground truth generation challenges.
Like many automotive companies, Continental faced a significant hurdle in producing high-quality 3D ground truth data from Lidar pointcloud data. Without specialized tools and automation capabilities, this process can be time-consuming and resource-intensive.
Continental's R&D team discovered Kognic through a proof of concept project in late 2023. What set Kognic apart wasn't just its feature set – it was the platform's flexibility and value proposition. As Gergely Barot Kovacs, Product Manager for Perception Development at Continental, notes, "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 implementation of Kognic's platform delivered immediate and significant benefits:
One thing that stood out from Kognic was its hybrid workforce model. Continental could seamlessly combine Kognic-sourced labelers with their internal team, providing unprecedented scalability and control over their labeling operations.
Continental successfully implemented a comprehensive data pipeline that handles everything from raw Lidar point-cloud and camera data upload to 3D ground truth generation and quality monitoring. This integration was achieved without forcing Continental to compromise their existing workflow – a deal-breaker in their decision to go with Kognic.
Continental's success demonstrates how the right tools can help with ground truth. Kognic's flexible platform and dedicated team support automotive companies that want to accelerate their perception development while maintaining quality and control.
Want to learn how Kognic can help your team achieve similar results? Get in touch with us today to explore how we can support your specific needs.