LIDAR-based multi-step approach for relative state and inertia parameters determination of an uncooperative target

A Nocerino, R Opromolla, G Fasano, M Grassi - Acta Astronautica, 2021 - Elsevier
Abstract Future Active Debris Removal missions will require an autonomous spacecraft
(chaser) to safely monitor at close distance, and then approach and dispose an inactive …

DeepLO: Multi-projection deep LIDAR odometry for space orbital robotics rendezvous relative navigation

O Kechagias-Stamatis, N Aouf, V Dubanchet… - Acta Astronautica, 2020 - Elsevier
This work proposes a new Light Detection and Ranging (LIDAR) based navigation
architecture that is appropriate for uncooperative relative robotic space navigation …

Robust on-manifold optimization for uncooperative space relative navigation with a single camera

D Rondao, N Aouf, MA Richardson… - Journal of Guidance …, 2021 - arc.aiaa.org
Optical cameras are gaining popularity as the suitable sensor for relative navigation in
space due to their attractive sizing, power, and cost properties when compared with …

Robust deep learning LiDAR-based pose estimation for autonomous space landers

Z Chekakta, A Zenati, N Aouf, O Dubois-Matra - Acta Astronautica, 2022 - Elsevier
Accurate relative pose estimation of a spacecraft during space landing operation is critical to
ensure a safe and successful landing. This paper presents a 3D Light Detection and …

A Low Power And High Performance Software Approach to Artificial Intelligence On-Board

P Ghiglino, M Harshe - 2023 IEEE Space Computing …, 2023 - ieeexplore.ieee.org
New generations of spacecrafts are required to perform tasks with an increased level of
autonomy. Space exploration, Earth Observation, space robotics, etc. are all growing fields …

Three-dimensional shape reconstruction of uncooperative spacecraft with texture-guided depth upsampling

Z Liu, H Liu, Z Zhu, C Sun, J Song - Measurement Science and …, 2021 - iopscience.iop.org
An important aspect of space exploration and situational awareness involves the
characterization of the surface geometry of space objects. This paper puts forward a precise …

3D object detection based on image and LIDAR fusion for autonomous driving

G Chen, H Yi, Z Mao - International Journal of Vehicle …, 2023 - inderscienceonline.com
3D object detection is the fundamental task of autonomous driving. The existing approaches
are very expensive in computation due to high dimensionality of point clouds. We use the 3D …

A Low Power and High Performance Artificial Intelligence Approach To Increase Guidance Navigation And Control Robustness

P Ghiglino, M Harshe - 2021 - digitalcommons.usu.edu
New generations of spacecrafts are required to perform tasks with an increased level of
autonomy. Space exploration, rendezvous services, space robotics, etc. are all growing …

Performance evaluation of single and cross‐dimensional feature detection and description

O Kechagias‐Stamatis, N Aouf… - IET Image …, 2020 - Wiley Online Library
Three‐dimensional (3D) local feature detection and description techniques are widely used
for object registration and recognition applications. Although several evaluations of 3D local …