110 citations · 245 across the 67 of their papers we have counts for
9 papers · 2 filters
SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing
Arunkumar Rathinam, Haytam Qadadri, Djamila Aouada
In recent years, there has been a growing demand for improved autonomy for in-orbit operations such as rendezvous, docking, and proximity maneuvers, leading to increased interest i…
SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines
Dimitrios Mallis, Sk Aziz Ali, Elona Dupont +6
Recent breakthroughs in geometric Deep Learning (DL) and the availability of large Computer-Aided Design (CAD) datasets have advanced the research on learning CAD modeling processe…
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
Sk Aziz Ali, Djamila Aouada, Gerd Reis +1
Accurate, robust, and real-time LiDAR-based odometry (LO) is imperative for many applications like robot navigation, globally consistent 3D scene map reconstruction, or safe motion…
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects
Leo Pauly, Wassim Rharbaoui, Carl Shneider +3
Estimating the pose of an uncooperative spacecraft is an important computer vision problem for enabling the deployment of automatic vision-based systems in orbit, with applications…
SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes
Kseniya Cherenkova, Elona Dupont, Anis Kacem +3
3D scanning as a technique to digitize objects in reality and create their 3D models, is used in many fields and areas. Though the quality of 3D scans depends on the technical char…
Self-Supervised Learning for Place Representation Generalization across Appearance Changes
Mohamed Adel Musallam, Vincent Gaudillière, Djamila Aouada
Visual place recognition is a key to unlocking spatial navigation for animals, humans and robots. While state-of-the-art approaches are trained in a supervised manner and therefore…