2results about How to "Accurate targeting" patented technology

This invention discloses a pure vision-based 3D reconstruction and adaptive completion method in a collapse environment, belonging to the field of computer vision and emergency rescue 3D reconstruction technology. The method completes initial 3D reconstruction by acquiring data through binocular vision, constructs an anisotropic point cloud density distribution field to achieve accurate detection of low-density blind spots, establishes safe and reachable spatial constraints based on an implicit distance field, and optimizes the completion viewpoint by fusing an observability model. Map iteration is completed through local reconstruction and point cloud updates, and a closed-loop completion mechanism is formed using point cloud density as feedback until the reconstructed model meets the integrity requirements. This invention solves the problems of permanent voids in reconstruction caused by viewpoint blind spots, poor consistency between completion results and the real scene, and insufficient safety in the reconstruction process in existing technologies in collapse environments. It can achieve complete and high-precision autonomous reconstruction of 3D models of collapse disaster sites, providing reliable spatial data support for emergency rescue decision-making.

The application discloses a kind of intelligent garlic sprout harvesters, it is related to agricultural harvesting machinery technical field, including frame and walking drive mechanism, operation execution mechanism and intelligent sensing and control system installed on frame;The walking drive mechanism includes walking wheel installed on the bottom of frame and driven by motor, realizes self-propelled field operation of whole machine;The operation execution mechanism includes sprout clamping device, needle belt and sprout pulling device sequentially arranged from front to back along the operation direction of frame;The application constructs an intelligent garlic sprout harvesting scheme by machine vision, multi-sensor fusion technology and bionic mechanical structure design, which integrates separating grass, clamping, skinning, pulling and collecting, realizes whole-process automation control from garlic sprout identification, posture righting, skinning loosening, flexible pulling to conveying and collecting, meets the efficient, low-loss, precision harvesting demand in garlic planting scene.