Drogue detection for autonomous aerial refueling via hybrid pigeon-inspired optimized color opponent and saliency aggregation  

作　　者：Tongyan WU Haibin DUAN Yanming FAN 

机构地区：[1]State Key Laboratory of Virtual Reality Technology and Systems,School of Automation Science and Electrical Engineering,Beihang University,Beijing 100083,China [2]Virtual Reality Fundamental Research Laboratory,Department of Mathematics and Theories,Peng Cheng Laboratory,Shenzhen 518000,China [3]AVIC Shenyang Aircraft Design and Research Institute,Shenyang 110035,China

出　　处：《Chinese Journal of Aeronautics》2024年第5期27-38,共12页中国航空学报（英文版）

基　　金：This work was partially supported by Science and Technology Innovation 2030-Key Project of“New Generation Artificial Intelligence”,China(No.2018AAA0102403);the National Natural Science Foundation of China(Nos.U1913602,T2121003,91948204,62103040,and U20B2071);the Open Fund/Postdoctoral Fund of the Laboratory of Cognition and Decision Intelligence for Complex Systems,Institute of Automation,Chinese Academy of Sciences(No.CASIA-KFKT-08).

摘　　要：Drogue detection is one of the challenging tasks in autonomous aerial refueling due to the requirement for accuracy and rapidity.Saliency detection based on image intrinsic cues can achieve fast detection,but with poor accuracy.Recent studies reveal that optimization-based methods provide accurate and quick solutions for saliency detection.This paper presents a hybrid pigeon-inspired optimization method,the optimized color opponent,that aims to adjust the weight of color opponent channels to detect the drogue region.It can optimize the weights in the selected aerial refueling scene offline,and the results are applied for drogue detection in the scene.A novel algorithm aggregated by the optimized color opponent and robust background detection is presented to provide better precision and robustness.Experimental results on benchmark datasets and aerial refueling images show that the proposed method successfully extracts the saliency region or drogue and exhibits superior performance against the other saliency detection methods with intrinsic cues.The algorithm designed in this paper is competent for the drogue detection task of autonomous aerial refueling.

关 键 词：Autonomous aerial refueling Drones Hybrid pigeon-inspired optimization Color opponent Saliency detection Saliency aggregation 

分 类 号：V279[航空宇航科学与技术—飞行器设计] V228.17[自动化与计算机技术—控制理论与控制工程] TP183[自动化与计算机技术—控制科学与工程] TP391.41