ROS2 Stack Architecture

Hardware-agnostic perception stack engine

Audit, optimize, and decouple proprietary sensor firmware from open autonomous vehicle navigation pipelines with microsecond latency profiling.

Deterministic Processing Sequence

Four-stage open vision pipeline

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Zero-copy ingestion

Spherical projection

Point-cloud fusion

Telemetry output

Direct kernel sensor payload ingest capturing raw NV12 optical frames without OS context-switching overhead.

Hardware-accelerated undistortion mapping optical matrices directly into unified vehicle coordinates.

Real-time temporal synchronization combining camera depth maps with LiDAR spatial arrays under 4ms.

Inspectable ROS2 topic publishing with frame-drop tracking and microsecond timestamp verification.

Modular Architecture

Decoupling sensor firmware from navigation

Proprietary perception black boxes obscure sensor degradation and force vendor lock-in. Our open architecture introduces standardized hardware abstraction layers, enabling robotics teams to swap optical hardware without rewriting downstream path planning routines.

By executing custom CUDA vision kernels on open Linux and ROS2 nodes, we deliver 100% code inspection and deterministic latency profiling. Autonomous platforms maintain total ownership over perception pipelines and telemetry.

Initiate stack benchmark audit

Connect with our Milpitas lab engineering leads to schedule a perception pipeline evaluation.