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Ouster, Inc. cautions that relying on color fusion for perception stacks can introduce significant errors if calibration drifts even slightly.
The company argues that while geometry enables systems to detect the existence of signs, color provides crucial meaning. However, when calibration drifts by a few milliseconds, this can translate to meter-scale errors exactly when a perception stack needs to read an exit sign. Ouster, Inc. notes that even minor parallax at the pixel level can become a critical issue, altering the reliability of AI-driven systems in autonomous navigation.
Ouster, Inc. has previously detailed how occlusions and shadows affect 3D data visualization when viewed from multiple perspectives, emphasizing the impact of environmental factors on data accuracy in company guidance. Earlier this year, Ouster, Inc. moved sensor fusion processing to silicon with the release of its L4 MAX chip, targeting real-time, error-reduced data integration, according to company statements. These efforts highlight persistent technical challenges in autonomous navigation.