BYD

Last updated February 1, 2026

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Panoramic surround view stitching algorithms: BYDRecent Research Landscape

Blind spots and perspective distortion in vehicle monitoring create safety risks that are mitigated through multi-sensor image stitching and geometric transformation algorithms. This control lever standardizes the spatial reconstruction of vehicle surroundings to ensure real-time visual fidelity.

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

Optical center misalignment

(83)evidences

Incomplete or misaligned spatial data between multiple camera feeds prevents a seamless environmental representation. Eliminating these artifacts ensures reliable obstacle detection and spatial awareness for autonomous systems.

Incomplete spatial situational awareness

(30)evidences

Blind spots and fragmented sensor coverage prevent accurate environment mapping. Resolving this ensures reliable obstacle detection for autonomous navigation.

Blind spot spatial occlusion

(22)evidences

Inaccurate or noisy point cloud data leads to false positives and missed hazards in vehicle surroundings. Resolving this ensures safe automated navigation and collision avoidance in complex environments.

Visual signal data degradation

(17)evidences

Discrepancies in exposure and contrast across synthesized image sequences. Eliminating these artifacts ensures seamless visual continuity and diagnostic accuracy in composite imaging.