Particle-based hazard detection for autonomous machine

This system helps autonomous machines detect stationary hazards. It first uses an image sensor to spot an object and then estimates its 3D location using a probability distribution. It then gathers additional sensor data, such as from a depth sensor, and correlates it with the initial image data by aligning timestamps and accounting for the machine's motion to refine the object's predicted location.

Why it matters: Filed as autonomous perception systems were maturing. Since 2021, advancements in deep learning for multi-modal sensor fusion and 3D object detection have made the complex data correlation and probability refinement described potentially more efficient and accurate to implement.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMultiple sensors, complex sensor fusion software, processing circuitry.

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