Polygon-Scanner LiDAR Facets for Long-Range Range and Velocity Sensing

The polygon scanner is divided into multiple facets with different geometric parameters. Each facet is segmented to have specific angles and lengths that create varying field of view angles, allowing different regions of the scan to be sampled at different densities appropriate for their importance.

Different facets are assigned different local qualities in terms of their geometric properties. Facets closer to the center of the scan pattern have different characteristics than those at the periphery, creating locally optimized sampling density where higher density is applied to critical regions and lower density to less critical regions.

The system dynamically adjusts sampling density across different field of view angles by using facets with varying geometric properties. The sampling density is not uniform but dynamically optimized based on the angular position, with closer facets providing higher density and farther facets providing broader coverage at reduced density.

The solution adds a dimensional aspect to the facet configuration by varying both the angular position and the radial distance of facets from the rotation axis. This creates a two-dimensional optimization space where sampling density and coverage area can be independently controlled across different angular sectors.

The beam scanning process is segmented into multiple passes, each handled by different facets. This allows the system to use larger beam sizes for long-range detection while maintaining fine range resolution through the segmented sampling approach, as each facet contributes to resolving different portions of the range profile.

The system applies partial sampling at high density for critical regions and excessive sampling at lower density for less critical regions. This allows the use of larger beam sizes overall while maintaining sufficient resolution in key areas through targeted high-density sampling.