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Last updated February 1, 2026
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Vehicle data processing architecture: BYDRecent Research Landscape

Latency in vehicle control systems creates safety risks and hardware inefficiencies. These innovations optimize the data processing pathways between the vehicle computer and safety subsystems like seat belt tensioning to ensure deterministic response times.

What technical problems is BYD addressing in Vehicle data processing architecture?

Inconsistent multi-sensor spatial coordination

(69)evidences

Deviations between planned motion and actual vehicle execution lead to safety risks and operational inefficiency. Precise synchronization between control commands and mechanical response ensures stable automated navigation.

Unsafe driver physiological states

(38)evidences

Inaccurate determination of vehicle alignment and lane boundaries leads to hazardous driving maneuvers. Precise state identification prevents collisions and ensures operational safety in automated systems.

Unintended lane departure risk

(12)evidences

Inadvertent vehicle drift outside of safe lane boundaries. Reducing this failure mode prevents collisions and improves road safety through timely driver notification.