Meaning
Coordinated measurement technique that integrates data from several physical sensors provides a unified spatial and temporal representation of an environment. Deploying multi-sensor metrology improves the accuracy of autonomous navigation by reconciling discrepancies between individual sensor outputs. This approach prevents individual sensor failures or sensor noise from corrupting the system state.
Signal Alignment
Time synchronization is required when combining high-frequency streams from accelerators and gyroscopes. In multi-sensor metrology, timestamps are matched to a common clock to prevent phase errors in the output. This alignment ensures that the calculated trajectory is mathematically consistent.
Spatial Calibration
Physical displacement between sensor housings introduces coordinate offsets that must be resolved. Through multi-sensor metrology, these offsets are mapped using calibration matrices to align all data to a single reference point. This step is completed on the assembly line to guarantee the precision of the integrated product, preventing angular errors from degrading the position estimates over time.
Software tools run automated tests to verify these calibration parameters during final testing.
Data Aggregation
Algorithmic filters combine the processed data streams to produce a single estimate of the physical state. This process reduces the overall computational load on the main application processor. The resulting unified stream is then used for real-time decision making.
