Computer vision system

This invention describes a computer vision system that helps a device understand its own movement and the surrounding environment. It processes camera images and motion sensor data using a neural network model. The claims specifically narrow this to a system that uses a FlowNetS-based convolutional neural network for visual tracking and another neural network for inertial tracking.

Why it matters: Since 2019, the efficiency and deployment capabilities of neural network models have significantly improved, making real-time visual and inertial odometry systems more practical for integration into edge devices. This enables broader application in areas like autonomous driving, as suggested by the classification, where such systems were previously more computationally demanding.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedNeural network software, data processing, sensor integration.

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