Scaling Perception for Next-Gen Autonomous Vehicles
Client
Meridian Autonomics
Industry
Autonomous Vehicles
Impact Deliverables
4 Key Results
Status
Delivered
The Challenge
Meridian Autonomics faced a critical bottleneck in their urban navigation models due to a severe shortage of high-fidelity, synchronized 3D LiDAR and 2D camera data. Their internal annotation teams were overwhelmed by the complexity of sensor fusion tasks, jeopardizing an impending autonomous fleet deployment.
Loopernode's Solution
We rapidly provisioned an air-gapped workforce of 500 domain-specific annotators rigorously trained on Meridian's proprietary sensor fusion taxonomy. By engineering an automated ETL pipeline and integrating AI-assisted 3D cuboid pre-labeling, we exponentially accelerated the human-in-the-loop validation process.
Key Business Results
Quantifiable breakthroughs achieved through Loopernode's dedicated data engineering pipeline.
Processed and delivered 2.5 million synchronized sensor frames in just 6 months.
Shattered the 98% SLA by achieving a sustained 99.7% annotation accuracy.
Slashed cost-per-annotation by 40% via proprietary AI-assisted tooling.
Accelerated the client's autonomous fleet deployment by a full operational quarter.
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