Agricultural lane following

The invention describes a system for agricultural vehicles to automatically steer themselves along crop rows. It uses cameras to identify crop rows, specifically those that are raised planting beds, and then calculates the vehicle's angle and side-to-side position relative to the lane. The vehicle then uses this information to stay centered and follow the row, with one specific version using two crop rows and fitting lines to individual plants.

Why it matters: Filed before the widespread availability of highly efficient deep learning models for real-time image analysis on edge devices. The specific tasks of detecting crop rows, bounding boxes, and fitting lines to plants have become significantly more robust and accurate with advancements in computer vision since 2020, making the core software easier to implement reliably.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedImage processing algorithms, vehicle control software

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