A Lightweight Model for Satellite Pose Estimation

被引:4
|
作者
Carcagni, Pierluigi [1 ]
Leo, Marco [1 ]
Spagnolo, Paolo [1 ]
Mazzeo, Pier Luigi [1 ]
Distante, Cosimo [1 ]
机构
[1] CNR ISASI, Ecotekne Campus Via Monteroni Snc, I-73100 Lecce, Italy
关键词
Spacecraft pose estimation; 6DOF pose; Deep learning; Monocular vision; Space imagery;
D O I
10.1007/978-3-031-06427-2_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work, a study on computer vision techniques for automating rendezvous manoeuvres in space has been carried out. A lightweight algorithm pipeline for achieving the 6 degrees of freedom (DOF) object pose estimation, i.e. relative position and attitude, of a spacecraft in a non-cooperative context using a monocular camera has been studied. In particular, the considered lite architecture has been never exploited for space operations and it allows to be compliant with operational constraints, in terms of payload and power, of small satellite platforms. Experiments were performed on a benchmark Satellite Pose Estimation Dataset of synthetic and real spacecraft imageries specifically introduced for the challenging task of the 6DOF object pose estimation in space. Extensive comparisons with existing approaches are provided both in terms of reliability/accuracy and in terms of model size that ineluctably affect resource requirements for deployment on space vehicles.
引用
收藏
页码:3 / 14
页数:12
相关论文
共 50 条
  • [1] A lightweight model of pose estimation based on DenseFusion
    Yu, Chongchong
    Chen, Jialun
    Hu, Xinyu
    Feng, Wenbin
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 5688 - 5693
  • [2] Lightweight Human Pose Estimation Model for Industrial Scenarios
    Wang, Maoli
    Qiu, Haitao
    Wang, Jiarui
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT XI, ICIC 2024, 2024, 14872 : 373 - 382
  • [3] A lightweight convolutional neural network for pose estimation of a planar model
    Ocegueda-Hernandez, Vladimir
    Roman-Godinez, Israel
    Mendizabal-Ruiz, Gerardo
    MACHINE VISION AND APPLICATIONS, 2022, 33 (03)
  • [4] LIGHTPOSE: A LIGHTWEIGHT AND EFFICIENT MODEL WITH TRANSFORMER FOR HUMAN POSE ESTIMATION
    Liu, Xiyang
    Li, Peng
    Ni, Ding
    Wang, Yan
    Xue, Hui
    2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 2674 - 2678
  • [5] A lightweight convolutional neural network for pose estimation of a planar model
    Vladimir Ocegueda-Hernández
    Israel Román-Godínez
    Gerardo Mendizabal-Ruiz
    Machine Vision and Applications, 2022, 33
  • [6] EfficientPose: A Lightweight and Efficient Model with Transformer for Human Pose Estimation
    Liang, Wei
    Cheng, Zhang
    Han, Junjia
    Wang, Yanxia
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT III, ICIC 2024, 2024, 14864 : 120 - 131
  • [7] Fast and Lightweight Human Pose Estimation
    Ren, Haopan
    Wang, Wenming
    Zhang, Kaixiang
    Wei, Dejian
    Gao, Yanyan
    Sun, Yue
    IEEE ACCESS, 2021, 9 : 49576 - 49589
  • [8] A lightweight attention-driven distillation model for human pose estimation
    Wei, Falai
    Hu, Xiaofang
    PATTERN RECOGNITION LETTERS, 2024, 185 : 247 - 253
  • [9] A lightweight human pose estimation model based on nonlinear spiking neural convolution model
    Zhang, Yuxuan
    Xia, Meichen
    Peng, Hong
    Liu, Zhicai
    Guo, Jun
    NEUROCOMPUTING, 2025, 622
  • [10] A strong benchmark for yoga action recognition based on lightweight pose estimation model
    Zhou, Liangtai
    Zhang, Weiwei
    Zhang, Banghui
    Li, Xiaobin
    Zhu, Jianqing
    MULTIMEDIA SYSTEMS, 2025, 31 (01)