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Automotive & Robotics

Neuromorphic perception and real-time sensor fusion for autonomous systems

The Challenge

Autonomous vehicles and robotics require sub-millisecond reaction times, continuous sensor fusion, and extreme energy efficiency. GPUs consume too much power and introduce latency spikes that compromise safety.

Oenerga Solution

  • •NeuroMesh for Perception: Event-driven camera processing with optical spiking networks. 120 ps response time for collision avoidance.
  • •Zero Idle Power: Neuromorphic compute only activates when events occur—perfect for sparse sensor data. Extend battery life dramatically.
  • •PhotonCore for Path Planning: Real-time trajectory optimization and multi-sensor fusion with photonic matrix compute.

Pilot-Reported ROI

Pilot-reported: Event-driven inference reduced idle power and improved responsiveness in representative sensor workloads.

Performance based on Oenerga internal benchmarks and pilot deployments. Results vary by workload.

Use Cases

Autonomous Driving

Real-time object detection, tracking, and collision avoidance

Warehouse Robotics

Energy-efficient navigation and manipulation planning

Drone Perception

Lightweight neuromorphic vision for extended flight time

Sensor Fusion

Multi-modal fusion (lidar, radar, camera) with picosecond latency

Build the Next Generation of Autonomous Systems

Discover how NeuroMesh transforms perception and control for robotics and automotive.

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