LIDAR-based multi-step approach for relative state and inertia parameters determination of an uncooperative target
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 …
(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 …
architecture that is appropriate for uncooperative relative robotic space navigation …
Robust on-manifold optimization for uncooperative space relative navigation with a single camera
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 …
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 …
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 …
autonomy. Space exploration, Earth Observation, space robotics, etc. are all growing fields …
Three-dimensional shape reconstruction of uncooperative spacecraft with texture-guided depth upsampling
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 …
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 …
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 …
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 …
for object registration and recognition applications. Although several evaluations of 3D local …