FuseDet: detection and positioning based on multi-field fusion

Yunfeng Xie

doi:10.1117/12.2681306

8 June 2023 FuseDet: detection and positioning based on multi-field fusion

Yunfeng Xie

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127072V (2023) https://doi.org/10.1117/12.2681306
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

With the application of a new generation of information technology in the field of industry and manufacturing, the era of big data-driven manufacturing is coming. However, as the most basic component of the digital manufacturing workshop, the distribution of manufacturing resources such as personnel, equipment and products in the workshop is highly uncertain, so the management of manufacturing resources has become a major difficulty in the safe production link of the digital manufacturing workshop. Compared with the traditional target detection algorithm, this paper greatly reduces the detection omission problem due to occlusion through multi-field fusion, and improves the positioning accuracy of workshop manufacturing resources through absolute coordinate mapping and data fusion. We train the model from scratch, achieved 46.5 box AP and the max positioning deviation is 0.81m on NJUST workshop dataset.

Citation Download Citation

Yunfeng Xie "FuseDet: detection and positioning based on multi-field fusion", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127072V (8 June 2023); https://doi.org/10.1117/12.2681306

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