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Found 14 papers, 0 papers with code
Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous
The adversarial attack detector is then built based on a Long Short Term Memory (LSTM) network which takes the explainability measure namely SHapley Value from the CNN-based pose estimator and flags the detection of adversarial attacks when acting.
Orbital AI-based Autonomous Refuelling Solution
Cameras are rapidly becoming the choice for on-board sensors towards space rendezvous due to their small form factor and inexpensive power, mass, and volume costs.
TransPose: A Transformer-based 6D Object Pose Estimation Network with Depth Refinement
In this paper, we propose TransPose, an improved Transformer-based 6D pose estimation with a depth refinement module.
Validation of Neural Network Controllers for Uncertain Systems Through Keep-Close Approach: Robustness Analysis and Safety Verification
Due to the complexity of analysing such systems, the problem is reformulated as the problem of dynamical tracking errors between the closed-loop system with a neural controller and an ideal closed-loop reference model.
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications
The use of Deep Reinforcement Learning (DRL) schemes has increased dramatically since their first introduction in 2015.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning
Adopting AI-based techniques and, more specifically, Deep Learning (DL) approaches to control and guide these UAVs can be beneficial in terms of performance but can add concerns regarding the safety of those techniques and their vulnerability against adversarial attacks.
GPU based GMM segmentation of kinect data
This paper presents a novel approach for background/foreground segmentation of RGBD data with the Gaussian Mixture Models (GMM).
A recursive robust filtering approach for 3D registration
This work presents a new recursive robust filtering approach for feature-based 3D registration.
Real-time multiview data fusion for object tracking with RGBD sensors
This paper presents a new approach to accurately track a moving vehicle with a multiview setup of red-green-blue depth (RGBD) cameras.
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.
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey
Autonomous spacecraft relative navigation technology has been planned for and applied to many famous space missions.
Using Convolutional Neural Networks for Relative Pose Estimation of a Non-Cooperative Spacecraft with Thermal Infrared Imagery
Recent interest in on-orbit servicing and Active Debris Removal (ADR) missions have driven the need for technologies to enable non-cooperative rendezvous manoeuvres.
Robust On-Manifold Optimization for Uncooperative Space Relative Navigation with a Single Camera
In this paper, an innovative model-based approach is instead demonstrated to estimate the six-dimensional pose of a target object relative to the chaser spacecraft using solely a monocular setup.
Single and Cross-Dimensional Feature Detection and Description: An Evaluation
Three-dimensional local feature detection and description techniques are widely used for object registration and recognition applications.
