[1]朱齐丹,李小铜,郑天昊.舰载机位姿实时视觉测量算法研究[J].智能系统学报,2021,16(6):1045-1055.[doi:10.11992/tis.202103014]
 ZHU Qidan,LI Xiaotong,ZHENG Tianhao.Research on real-time vision measurement algorithm of shipborne aircraft pose[J].CAAI Transactions on Intelligent Systems,2021,16(6):1045-1055.[doi:10.11992/tis.202103014]
点击复制

舰载机位姿实时视觉测量算法研究

参考文献/References:
[1] 于鲲, 丛明煜, 戴文聪. 基于三维模型的空间目标视觉位姿测量[J]. 仪器仪表学报, 2019, 40(4): 179-188
YU Kun, CONG Mingyu, DAI Wencong. Spatial target vision pose measurement based on 3D model[J]. Chinese journal of scientific instrument, 2019, 40(4): 179-188
[2] 季涛, 李福东, 杨月全, 等. 基于改进ICP算法和CAD模型库的单目视觉位姿测量[J]. 扬州大学学报(自然科学版), 2019, 22(1): 50-54, 61
JI Tao, LI Fudong, YANG Yuequan, et al. Monocular vision pose measurement based on improved ICP algorithm and CAD model[J]. Journal of Yangzhou University (natural science edition), 2019, 22(1): 50-54, 61
[3] 刘祥. 基于双目视觉的空间非合作目标位姿测量方法[D]. 哈尔滨: 哈尔滨工业大学, 2019: 1-8.
LIU Xiang. Non-cooperative target pose estimation based on stereo vision[D]. Harbin: Harbin Institute of Technology, 2019: 1-8.
[4] 王晓林, 苏松志, 刘晓颖, 等. 一种基于级联神经网络的飞机检测方法[J]. 智能系统学报, 2020, 15(4): 697-704
WANG Xiaolin, SU Songzhi, LIU Xiaoying, et al. Cascade convolutional neural networks for airplane detection[J]. CAAI transactions on intelligent systems, 2020, 15(4): 697-704
[5] 王婷婷, 苍岩, 毕晓君, 等. 改进的Faster R-CNN网络预测尺度参数[J]. 哈尔滨工程大学学报, 2021, 42(3): 426-432
WANG Tingting, CANG Yan, BI Xiaojun, et al. Improved faster R-CNN algorithm for object parameter prediction[J]. Journal of Harbin Engineering University, 2021, 42(3): 426-432
[6] WANG Chen, XU Danfei, ZHU Yuke, et al. DenseFusion: 6D object pose estimation by iterative dense fusion[C]//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA, 2019: 3343-3352.
[7] TEKIN B, SINHA S N, FUA P. Real-time seamless single shot 6D object pose prediction[C]//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA, 2018: 1-2.
[8] 李少飞, 史泽林, 庄春刚. 基于物体点云6D位姿估计的深度学习方法[EB/OL]. [2021-02-19] https://doi.org/10.19678/j.issn.1000-3428.0058768.
LI Shaofei, SHI Zelin, ZHUANG Chungang. Deep learning based 6D object pose estimation using point clouds[EB/OL]. [2021-02-19] https://doi.org/10.19678/j.issn.1000-3428.0058768.
[9] TIAN Meng, ANG JR M H, LEE G H. Shape prior deformation for categorical 6D object pose and size estimation[C]//Proceedings of the 16th European Conference on Computer Vision. Glasgow, UK, 2020: 1-2.
[10] 赵永强, 饶元, 董世鹏, 等. 深度学习目标检测方法综述[J]. 中国图象图形学报, 2020, 25(4): 629-654
ZHAO Yongqiang, RAO Yuan, DONG Shipeng, et al. Survey on deep learning object detection[J]. Chinese journal of image and graphics, 2020, 25(4): 629-654
[11] 李同, 阮士峰, 陈卓, 等. 基于卷积神经网络的目标检测综述[J]. 科技经济导刊, 2020, 28(27): 18-20
LI Tong, RUAN Shifeng, CHEN Zhuo, et al. Overview of target detection based on convolutional neural networks[J]. Technology and economic guide, 2020, 28(27): 18-20
[12] HEI Law, JIA Deng. Cornernet: detecting objects as paired keypoints [C].//Proceedings of the European Conference on Computer Vision (ECCV). Munich, Germany, 2018: 765-781.
[13] ZHU C, HE Y, SAVVIDES M. Feature selective anchor-free module for single-shot object detection [C]. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, USA,2019: 840-849.
[14] ZHOU Xingyi, ZHOU Jiacheng, KR?HENBüHL P. Bottom-up object detection by grouping extreme and center points[C]//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA, 2019: 850-859.
[15] TIAN Z, SHEN C, CHEN H, et al. FCOS: fully convolutional one-stage object detection [C].//2019 IEEE/CVF International Conference on Computer Vision (ICCV). Seoul, Korea (South), 2019: 9626-9635.
[16] BOCHKOVSKIY A, WANG C Y, LIAO H Y M. Yolov4: Optimal speed and accuracy of object detection[EB/OL]. (2020-04-22)[2021-05-01]. https://arxiv.org/pdf/2004.10934.pdf.
[17] 曹田, 李勃, 任福继, 等. 快速的圆投影图像匹配算法[J]. 智能系统学报, 2020, 15(1): 84-91
CAO Tian, LI Bo, REN Fuji, et al. Fast image matching algorithm based on circular projection[J]. CAAI transactions on intelligent systems, 2020, 15(1): 84-91
[18] 吴清辉. 基于改进SURF特征点的模板匹配算法[J]. 机电工程技术, 2021, 50(6): 208-211
WU Qinghui. Template matching algorithm based on improved SURF feature points[J]. Mechanical & electrical engineering technology, 2021, 50(6): 208-211
[19] 江苏蓬, 向伟, 刘云鹏, 等. 采用多特征共生矩阵的模板匹配[J]. 光学 精密工程, 2021, 29(6): 1459-1467
JIANG Supeng, XIANG Wei, LIU Yunpeng, et al. Template matching algorithm with multi-feature co-occurrence matrix[J]. Optics and precision engineering, 2021, 29(6): 1459-1467
[20] 王丽芳, 吕建平. 小波变换和Canny算子相结合的图像边缘检测算法[J]. 计算机与数字工程, 2014, 42(8): 1480-1483
WANG Lifang, LV Jianping. Image segmentation method based on wavelet transform and Canny operator[J]. Computer and digital engineering, 2014, 42(8): 1480-1483
[21] 张月圆, 曾庆化, 刘建业, 等. 基于Canny的改进图像边缘检测算法[J]. 导航与控制, 2019, 18(1): 84-90
ZHANG Yueyuan, ZENG Qinghua, LIU Jianye, et al. An Improved image edge detection algorithm based on Canny algorithm[J]. Navigation and control, 2019, 18(1): 84-90
[22] 杨福嘉, 郑丽颖. 基于SIFT的新特征提取匹配算法[J]. 应用科技, 2019, 46(2): 94-97, 103
YANG Fujia, ZHENG Liying. New feature extraction matching algorithm based on SIFT[J]. Applied science and technology, 2019, 46(2): 94-97, 103
[23] DAVIS B J, KASZETA R W, CHAMBERS R D, et al. Machine vision tracking of carrier-deck assets for improved launch safety[C]. Proceedings of Signal Processing, Sensor Fusion, and Target Recognition. Baltimore, United States, 2013: 1-11.
[24] 丁科, 谭营. GPU 通用计算及其在计算智能领域的应用[J]. 智能系统学报, 2015, 10(1): 1-11
DING Ke, TAN Ying. A review on general purpose computing on GPUs and its applications in computation-al intelligence[J]. CAAI transactions on intelligent sys-tems, 2015, 10(1): 1-11
[25] 张毅, 沙建松. 基于图优化的移动机器人视觉SLAM[J]. 智能系统学报, 2018, 13(2): 290-295
ZHANG Yi, SHA Jiansong. Visual-SLAM for mobile robot based on graph optimization[J]. CAAI transactions on intelligent systems, 2018, 13(2): 290-295
[26] 李占旗, 高继东, 彭凯, 等. 基于PnP算法的前方车辆测距方法[J]. 国外电子测量技术, 2020, 39(12): 104-108
LI Zhanqi, GAO Jidong, PENG Kai, et al. Method of measurement vehicle distance based on PnP[J]. Foreign electronic measurement technology, 2020, 39(12): 104-108
相似文献/References:
[1]田国会,吉艳青,李晓磊.家庭智能空间下基于场景的人的行为理解[J].智能系统学报,2010,5(1):57.
 TIAN Guo-hui,JI Yan-qing,LI Xiao-lei.Human behaviors understanding based on scene knowledge in home intelligent space[J].CAAI Transactions on Intelligent Systems,2010,5(6):57.
[2]梁义辉,战强.一种面向无线图像传输的视觉平台[J].智能系统学报,2016,11(5):608.[doi:10.11992/tis.201512014]
 LIANG Yihui,ZHAN Qiang.A visual platform for wireless image transmission[J].CAAI Transactions on Intelligent Systems,2016,11(6):608.[doi:10.11992/tis.201512014]
[3]李霞丽,吴立成,樊艳明.易于硬件实现的压缩感知观测矩阵的研究与构造[J].智能系统学报,2017,12(3):279.[doi:10.11992/tis.201606037]
 LI Xiali,WU Licheng,FAN Yanming.Study and construction of a compressed sensing measurement matrix that is easy to implement in hardware[J].CAAI Transactions on Intelligent Systems,2017,12(6):279.[doi:10.11992/tis.201606037]
[4]郭晓峰,王耀南,周显恩,等.中国象棋机器人棋子定位与识别方法[J].智能系统学报,2018,13(4):517.[doi:10.11992/tis.201709020]
 GUO Xiaofeng,WANG Yaonan,ZHOU Xianen,et al.Chess-piece localization and recognition method for Chinese chess robot[J].CAAI Transactions on Intelligent Systems,2018,13(6):517.[doi:10.11992/tis.201709020]
[5]安果维,王耀南,周显恩,等.基于显著性检测的双目测距系统[J].智能系统学报,2018,13(6):913.[doi:10.11992/tis.201712005]
 AN Guowei,WANG Yaonan,ZHOU Xianen,et al.Binocular distance measurement system based on saliency detection[J].CAAI Transactions on Intelligent Systems,2018,13(6):913.[doi:10.11992/tis.201712005]
[6]张智,毕晓君.基于风格转换的无监督聚类行人重识别[J].智能系统学报,2021,16(1):48.[doi:10.11992/tis.202012014]
 ZHANG Zhi,BI Xiaojun.Clustering approach based on style transfer for unsupervised person re-identification[J].CAAI Transactions on Intelligent Systems,2021,16(6):48.[doi:10.11992/tis.202012014]
[7]赵立明,龙大周,徐晓东,等.工业机器人加工轨迹双目3D激光扫描成像修正方法[J].智能系统学报,2021,16(4):690.[doi:10.11992/tis.202008008]
 ZHAO Liming,LONG Dazhou,XU Xiaodong,et al.Binocular 3D laser scanning imaging-based industrial robot machining trajectory correction method[J].CAAI Transactions on Intelligent Systems,2021,16(6):690.[doi:10.11992/tis.202008008]
[8]谢家阳,王行健,史治国,等.动态云台摄像机无人机检测与跟踪算法[J].智能系统学报,2021,16(5):858.[doi:10.11992/tis.202103032]
 XIE Jiayang,WANG Xingjian,SHI Zhiguo,et al.Drone detection and tracking in dynamic pan-tilt-zoom cameras[J].CAAI Transactions on Intelligent Systems,2021,16(6):858.[doi:10.11992/tis.202103032]
[9]王凤随,陈金刚,王启胜,等.自适应上下文特征的多尺度目标检测算法[J].智能系统学报,2022,17(2):276.[doi:10.11992/tis.202101029]
 WANG Fengsui,CHEN Jingang,WANG Qisheng,et al.Multi-scale target detection algorithm based on adaptive context features[J].CAAI Transactions on Intelligent Systems,2022,17(6):276.[doi:10.11992/tis.202101029]

备注/Memo

收稿日期:2021-03-09。
基金项目:国家自然科学基金项目(61803116);船舶态势智能感知系统研制项目(MC-201920-X01)
作者简介:朱齐丹,教授,博士生导师,中国自动化学会应用委员会委员,国家绕月探测科学应用专家委员会专家,主要研究方向为智能机器人技术及应用、智能控制系统设计、图像处理与模式识别。主持国家自然科学基金项目、国防973项目、工信部高技木船舶专项项目、科工局国防基础研究重点项目、科技部国际合作项目、海军预研、科研、型号项目等50余项。获国家科技进步二等奖1项、国防科技进步一等奖3项、军队科技进步一等奖1项、黑龙江省科技进步二等奖3项。获发明专利授权20项、软件著作权5项,出版专著4部,发表学术论文200余篇;李小铜,硕士研究生,主要研究方向为图像处理、机器视觉、深度学习;郑天昊,硕士研究生,主要研究方向为计算机视觉、深度学习、机械臂、并行编程
通讯作者:朱齐丹.E-mail:zhuqidan@hrbeu.edu.cn

更新日期/Last Update: 2021-12-25
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134