Align and combine measurements from multiple sensors. Practice coordinate transforms, timestamp alignment, calibration checks, and uncertainty analysis with rec
Last reviewed: 2026-10-03
Sensor fusion combines measurements with different viewpoints, timing, or noise characteristics. Before combining lidar and camera data, estimate and verify the transform between their coordinate frames. MathWorks demonstrates calibration and projection of lidar observations into camera imagery.
Use recorded or simulated measurements to separate calibration error, time offset, and missing observations. Broader fusion systems may estimate state from other sensor combinations, but each needs an explicit measurement model. A successful overlay is only an initial check, not evidence of readiness for autonomous operation.
No. Calibration establishes relationships such as coordinate transforms. Fusion uses aligned measurements to support a combined observation or estimate.