Algorithm Architecture Pipeline

End-to-End Stereo Depth Estimation Pipeline · Multi-Strategy Fusion Innovation

±0.9%

Relative Error

<5ms

End-to-End Latency

Core Metrics · Driven by Real-World Data

Measured on SENSING Astra S36 Stereo Camera + Multiple Computing Platforms — Leading in Both Accuracy and Real-Time Performance

✎ Test Environment: Jetson AGX Orin (32GB) + Astra S36 Camera, 24FPS, average of 10 measurements per distance, Actual Distance vs. Model Depth Value.

✎Thor platform is limited by the camera's maximum frame rate of 30 FPS, and inference can reach 30 FPS; actual end-to-end latency is less than 5 ms. Under high load, GPU utilization on the Orin platform can reach 93%, while still maintaining stable 24 FPS output.

Diff. Advantages · Demanding-Ready

For Algorithm Engineers and Decision-Makers — Delivering the Optimal Balance of Accuracy, Speed, and Reliability

Deep Empower · Full Deploy

Wide application of sDepth+SENSING Stereo in autonomous driving, robotics, and industrial inspection.