南京航空航天大学学报（英文版）2024，Vol.41Issue(6)：700-709,10.DOI:10.16356/j.1005-1120.2024.06.003
面向多传感器自由曲面测量与重构的聚合价值主动采样方法
Aggregation-Value-Based Active Sampling Method for Multi-sensor Freeform Surface Measurement and Reconstruction
摘要
Abstract
Freeform surface measurement is a key basic technology for product quality control and reverse engineering in aerospace field.Surface measurement technology based on multi-sensor fusion such as laser scanner and contact probe can combine the complementary characteristics of different sensors,and has been widely concerned in industry and academia.The number and distribution of measurement points will significantly affect the efficiency of multi-sensor fusion and the accuracy of surface reconstruction.An aggregation-value-based active sampling method for multi-sensor freeform surface measurement and reconstruction is proposed.Based on game theory iteration,probe measurement points are generated actively,and the importance of each measurement point on freeform surface to multi-sensor fusion is clearly defined as Shapley value of the measurement point.Thus,the problem of obtaining the optimal measurement point set is transformed into the problem of maximizing the aggregation value of the sample set.Simulation and real measurement results verify that the proposed method can significantly reduce the required probe sample size while ensuring the measurement accuracy of multi-sensor fusion.关键词
多传感器融合/多传感器测量/数据采样/主动学习/Shapley值/智能采样Key words
multi-sensor fusion/multi-sensor measurement/data sampling/active learning/Shapley value/intelligent sampling分类
信息技术与安全科学引用本文复制引用
陈耿祥,李迎光,MEHDI-SOUZANI Charyar,刘旭..面向多传感器自由曲面测量与重构的聚合价值主动采样方法[J].南京航空航天大学学报（英文版）,2024,41(6):700-709,10.基金项目
This work was supported by the Na-tional Key R&D Program of China(No.2022YFB3402600),the National Science Fund for Distinguished Young Scholars(No.51925505),the General Program of National Natural Science Foundation of China(No.52275491),and Joint Funds of the National Natural Science Foundation of China(No.U21B2081). （No.2022YFB3402600）
