Multi-modal sensor calibration for in-cabin monitoring systems and applications

This invention describes a method for precisely aligning different types of cameras, such as regular image sensors and 3D depth sensors, within a vehicle's cabin. It works by placing special markers inside the car to create a common 3D reference point. The system then calculates mathematical transformations to understand how each camera "sees" this reference space. The claims specifically detail how to determine the alignment between a regular image sensor's view and this common 3D reference.

Why it matters: Since 2022, the rapid expansion of in-cabin monitoring systems for driver assistance and autonomous vehicles has intensified the need for reliable multi-sensor calibration. Advances in edge processing power and computer vision algorithms now offer more robust and efficient ways to perform these complex real-time calibrations.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, sensor integration, computer vision

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