A systematic review and evaluation of synthetic simulated data generation strategies for deep learning applications in construction

L Xu, H Liu, B Xiao, X Luo, Z Zhu - Advanced Engineering Informatics, 2024 - Elsevier
The integration of deep learning (DL) into construction applications holds substantial
potential for enhancing construction automation and intelligence. However, successful …

Semantic terrain segmentation in the navigation vision of planetary rovers—A systematic literature review

B Kuang, C Gu, ZA Rana, Y Zhao, S Sun, SG Nnabuife - Sensors, 2022 - mdpi.com
Background: The planetary rover is an essential platform for planetary exploration. Visual
semantic segmentation is significant in the localization, perception, and path planning of the …

MarsSim: a high-fidelity physical and visual simulation for Mars rovers

R Zhou, W Feng, L Ding, H Yang, H Gao… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
Simulation has deeply infiltrated into the development and validation of planetary rover
technologies concerning mobility and autonomy, by providing large amounts of data in a …

Omnilrs: A photorealistic simulator for lunar robotics

A Richard, J Kamohara, K Uno, S Santra… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Developing algorithms for extra-terrestrial robotic exploration has always been challenging.
Along with the complexity associated with these environments, one of the main issues …

Finally! insights into the arches lunar planetary exploration analogue campaign on etna in summer 2022

A Wedler, MG Müller, M Schuster, M Durner… - … Congress, IAC 2022, 2022 - elib.dlr.de
This paper summarises the first outcomes of the space demonstration mission of the
ARCHES project which could have been performed this year from 13 june until 10 july on …

Preliminary results for the multi-robot, multi-partner, multi-mission, planetary exploration analogue campaign on mount etna

A Wedler, MG Müller, M Schuster, M Durner… - Proceedings of the …, 2021 - elib.dlr.de
This paper was initially intended to report on the outcome of the twice postponed
demonstration mission of the ARCHES project. Due to the global COVID pandemic, it has …

6d object pose estimation from approximate 3d models for orbital robotics

M Ulmer, M Durner, M Sundermeyer… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
We present a novel technique to estimate the 6D pose of objects from single images where
the 3D geometry of the object is only given approximately and not as a precise 3D model. To …

Resyris-a real-synthetic rock instance segmentation dataset for training and benchmarking

W Boerdijk, MG Müller, M Durner… - 2023 IEEE Aerospace …, 2023 - ieeexplore.ieee.org
The exploration of our solar system for understanding its creation and investigating potential
chances of life on other celestial bodies is a fundamental drive of human mankind. After …

[HTML][HTML] End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation

D Marek, J Nalepa - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Bringing autonomy on board edge devices is inevitable to accelerate the process of space
exploration. Although there are various tasks that can be executed autonomously by such …

Real-time testing of vision-based systems for AGVs with ArUco markers

K Filus, Ł Sobczak, J Domańska… - … Conference on Big …, 2022 - ieeexplore.ieee.org
Automated Ground Vehicles (AGVs) use deep-learning-based vision systems to perceive
the surrounding environment and extract relevant information about it. Although deep …