Spacecraft Pose Estimation
7 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing
To facilitate further training and evaluation of DL-based models, we introduce a novel dataset, SPADES, comprising real event data acquired in a controlled laboratory environment and simulated event data using the same camera intrinsics.
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects
The primary goal of this survey is to describe the current DL-based methods for spacecraft pose estimation in a comprehensive manner.
3D-Aware Object Localization using Gaussian Implicit Occupancy Function
We then propose to have a new look at ellipse regression and replace the discontinuous geometric ellipse parameters with the parameters of an implicit Gaussian distribution encoding object occupancy in the image.
Spacecraft depth completion based on the gray image and the sparse depth map
In this way, the background interference to foreground spacecraft depth completion is effectively avoided.
Deep Learning for Real Time Satellite Pose Estimation on Low Power Edge TPU
Pose estimation of an uncooperative space resident object is a key asset towards autonomy in close proximity operations.
ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft Pose Estimation
This paper presents an innovative deep learning pipeline which estimates the relative pose of a spacecraft by incorporating the temporal information from a rendezvous sequence.
LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network
Being capable of estimating the pose of uncooperative objects in space has been proposed as a key asset for enabling safe close-proximity operations such as space rendezvous, in-orbit servicing and active debris removal.
Real-Time, Flight-Ready, Non-Cooperative Spacecraft Pose Estimation Using Monocular Imagery
A key requirement for autonomous on-orbit proximity operations is the estimation of a target spacecraft's relative pose (position and orientation).
