Scaling Perception for Next-Gen Autonomous Vehicles
Client
Meridian Autonomics
Industry
Autonomous Vehicles
Impact Deliverables
4 Key Results
Status
Delivered
The Challenge
Meridian Autonomics required a massive influx of perfectly annotated 3D LiDAR and 2D camera data to improve their urban navigation models. Their internal team was bottlenecked, struggling to annotate complex sensor fusion data at the required scale and accuracy, threatening their deployment timeline.
Loopernode's Solution
Loopernode deployed a dedicated team of 500 expert annotators trained specifically on Meridian's sensor fusion guidelines. We implemented an automated pipeline to handle data transfer and utilized AI-assisted pre-labeling for 3D cuboids, drastically accelerating the manual review and adjustment process.
Key Business Results
Quantifiable breakthroughs achieved through Loopernode's dedicated data engineering pipeline.
Delivered 2.5 million perfectly annotated frames within 6 months.
Achieved 99.7% accuracy, exceeding the client's SLA of 98%.
Reduced cost per annotation by 40% through tooling efficiencies.
Accelerated the client's model deployment timeline by one full quarter.
Ready to achieve similar breakthroughs?
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