Autonomous Inspection with Dual LiDAR for Scattered Objects

The inspection device autonomously determines object locations and executes inspection tasks without manual intervention. The system uses laser radar devices to automatically detect objects, calculates movement paths, and controls the inspection process itself, enabling the device to serve itself rather than requiring operator control for each inspection action.

The patent replaces manual mechanical control with automated laser radar detection and computational path planning. Instead of operators physically locating and directing inspection to objects, the system uses laser radar to detect object positions, processes this information computationally, and automatically generates movement paths, substituting mechanical manual operations with optical and computational systems.

The system performs preliminary detection of all objects in the large inspection region using laser radar devices before planning the inspection sequence. By pre-identifying object locations and characteristics across the entire scattered object distribution, the system can optimize the inspection path in advance, ensuring efficient coverage of all objects without requiring manual intervention for each scattered target.

The patent introduces a topological map representation that transforms the physical spatial arrangement of scattered objects into a graph structure with nodes and edges. This dimensional transformation from physical coordinates to topological relationships enables efficient path planning algorithms to calculate optimal inspection sequences, improving scanning efficiency across large regions with scattered objects by leveraging computational geometry rather than physical movement optimization alone.