Back to the feature: Learning robust camera localization from pixels to pose
Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple
learning algorithms. Many regress precise geometric quantities, like poses or 3D points …
learning algorithms. Many regress precise geometric quantities, like poses or 3D points …
Dsec: A stereo event camera dataset for driving scenarios
Once an academic venture, autonomous driving has received unparalleled corporate
funding in the last decade. Still, operating conditions of current autonomous cars are mostly …
funding in the last decade. Still, operating conditions of current autonomous cars are mostly …
ASRO-DIO: Active subspace random optimization based depth inertial odometry
High-dimensional nonlinear state estimation is at the heart of inertial-aided navigation
systems (INS). Traditional methods usually rely on good initialization and find difficulty in …
systems (INS). Traditional methods usually rely on good initialization and find difficulty in …
Deep learning for spacecraft pose estimation from photorealistic rendering
PF Proença, Y Gao - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
On-orbit proximity operations in space rendezvous, docking and debris removal require
precise and robust 6D pose estimation under a wide range of lighting conditions and against …
precise and robust 6D pose estimation under a wide range of lighting conditions and against …
PoseRBPF: A Rao–Blackwellized particle filter for 6-D object pose tracking
Tracking 6-D poses of objects from videos provides rich information to a robot in performing
different tasks such as manipulation and navigation. In this article, we formulate the 6-D …
different tasks such as manipulation and navigation. In this article, we formulate the 6-D …
Rotation averaging
This paper is conceived as a tutorial on rotation averaging, summarizing the research that
has been carried out in this area; it discusses methods for single-view and multiple-view …
has been carried out in this area; it discusses methods for single-view and multiple-view …
Neural network-based pose estimation for noncooperative spacecraft rendezvous
This article presents the Spacecraft Pose Network (SPN), the first neural network-based
method for on-board estimation of the pose, ie, the relative position and attitude, of a known …
method for on-board estimation of the pose, ie, the relative position and attitude, of a known …
Crystal Plasticity simulations of in situ tensile tests: A two-step inverse method for identification of CP parameters, and assessment of CPFEM capabilities
D Depriester, JP Goulmy, L Barrallier - International Journal of Plasticity, 2023 - Elsevier
As the computational capability of modern computers increases, the Crystal Plasticity Finite
Element Method (CPFEM) becomes more and more popular in materials science to model …
Element Method (CPFEM) becomes more and more popular in materials science to model …
Initial alignment by attitude estimation for strapdown inertial navigation systems
L Chang, J Li, S Chen - IEEE Transactions on Instrumentation …, 2014 - ieeexplore.ieee.org
This paper derives a novel initial alignment method for the strapdown inertial navigation
system (SINS), which transforms the attitude alignment into an attitude estimation problem …
system (SINS), which transforms the attitude alignment into an attitude estimation problem …
Advanced state estimation for navigation of automated vehicles
For the emerging topic of automated and autonomous vehicles in all major sectors, reliable
and accurate state estimation for navigation of these vehicles becomes increasingly …
and accurate state estimation for navigation of these vehicles becomes increasingly …