Vision-Based Spacecraft Pose Estimation via a Deep Convolutional Neural Network for Noncooperative Docking Operations
The capture of a target spacecraft by a chaser is an on-orbit docking operation that requires an accurate, reliable, and robust object recognition algorithm. Vision-based guided spacecraft relative motion during close-proximity maneuvers has been consecutively applied using dynamic modeling as a spa...
Main Authors: | Thaweerath Phisannupawong, Patcharin Kamsing, Peerapong Torteeka, Sittiporn Channumsin, Utane Sawangwit, Warunyu Hematulin, Tanatthep Jarawan, Thanaporn Somjit, Soemsak Yooyen, Daniel Delahaye, Pisit Boonsrimuang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/7/9/126 |
Similar Items
-
Outlet Temperature Prediction of Boiling Heat Transfer in Helical Coils through Artificial Neural Network
by: Krisana Insom, et al.
Published: (2020-01-01) -
INTRODUCTION TO STANDARDIZED SPACECRAFT ONBOARD INTERFACES
by: Smith, Joseph F., et al.
Published: (2003) -
Spacecraft-ns3: Spacecraft Discrete-Event Network Simulation
by: Evans, Julianna Marie
Published: (2020) -
Design of fuel optimal maneuvers for multi-spacecraft interferometric imaging systems
by: Ramirez Riberos, Jaime Luis
Published: (2006) -
Behaviour based autonomy for single and multiple spacecraft
by: Radice, Gianmarco
Published: (2002)