Analysis of Material Identification and Localization Method Based on Multimodal Data Fusion
This paper describes a material detection and localization method based on the fusion of LiDAR and camera data in response to the demands of material inventory in large-scale indoor and outdoor power warehouses.The method utilizes a LiDAR to collect three-dimensional point clouds of the material storage area and employs a deep instance segmentation algorithm to identify material regions in the images.By mapping the point clouds to the images through coordinate system transformation and pre-calibrated intrinsic and extrinsic parameters,precise spatial location information of the materials is obtained.The algorithm is evaluated in indoor and outdoor scenarios,and the results indicate that the fusion detection method based on LiDAR and camera can accurately identify and localize materials in real time.
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