3D Point Cloud Navigation for Wire-Free Autonomous Mowers

The patent extracts the boundary definition function from physical wires and implements it through software-based virtual boundaries. The system captures images of the work region, processes them to identify boundary locations, and creates virtual boundary representations that guide navigation without requiring physical wire infrastructure.

The patent replaces the mechanical boundary wire system with a vision-based computational system. Instead of using physical wires that detectable by sensors, the system uses cameras to capture images, processes them through image analysis algorithms, and generates virtual boundary data that guides the autonomous machine's navigation.

The patent performs preliminary image capture and boundary identification during a training phase before actual operation. The system captures images of the work region, processes them to identify boundaries and features, and stores this information for later use. During operation, the pre-processed boundary information enables accurate navigation with reduced real-time computing requirements.

The patent implements a two-phase approach where full image processing and boundary identification are performed offline during training, then only partial processing is needed during operation. The system captures necessary images during training, processes them comprehensively to establish virtual boundaries, and uses this pre-established information to guide navigation with minimal additional processing during actual work.