The grab tracking method for 3D reconstruction of a waste pool

Xiaosong Ding; Chong Feng; Liqiang Li; Xi Chen

doi:10.1117/12.3005816

10 October 2023 The grab tracking method for 3D reconstruction of a waste pool

Xiaosong Ding, Chong Feng, Liqiang Li, Xi Chen

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127994L (2023) https://doi.org/10.1117/12.3005816
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

With 3D reconstruction method, this paper conducts experiments based on the data of a waste incineration plant in eastern China, and analyzes and compares the visual 3D monitoring, laser sensor 3D monitoring, and grabbing bucket tracking. By comparison, the grab tracking method is very appropriate for 3D reconstruction in terms of cost, accuracy, and implementation. With the proposed method, the volume monitoring not only provides practical suggestions for the construction of the optimal waste dump volume monitoring decision-making system, but also helps waste incineration enterprises achieve the goal of ''carbon peaking and carbon neutrality''.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaosong Ding, Chong Feng, Liqiang Li, and Xi Chen "The grab tracking method for 3D reconstruction of a waste pool", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127994L (10 October 2023); https://doi.org/10.1117/12.3005816

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