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Last updated February 1, 2026
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Panoramic surround view calibration algorithms: BYDRecent Research Landscape

Misalignment in multi-camera vehicle systems causes stitching artifacts and depth errors that compromise safety. These innovations utilize automated spatial calibration and data enhancement to ensure seamless sensor fusion.

What technical problems is BYD addressing in Panoramic surround view calibration algorithms?

Optical code scanning failures

(72)evidences

Unreliable identification and localization of physical hazards in complex environments. Improving accuracy prevents collisions and ensures operational safety in autonomous systems.

Inconsistent target tracking continuity

(60)evidences

External contaminants or physical barriers block optical sensors, leading to blind spots and system failure. Detecting these occlusions ensures the reliability of surround-view safety systems.

Optical center misalignment

(41)evidences

Inaccurate camera extrinsic parameters and lens distortion cause visual discontinuities at image boundaries. Eliminating these errors ensures a seamless, spatially accurate representation of the vehicle surroundings for safe navigation.