4 citations · 7 across the 7 of their papers we have counts for
7 papers
WildFireGS: Physics-Based Wildfire Simulation in Large-Scale Semantics-Enriched Gaussian Splatting Forest Scenes
Nienke Driessen, Joris Rijsdijk, Sören Pirk +3
Climate-driven environmental change is driving an increase in both the frequency and severity of wildfire events, making accurate simulation and prediction critical for effective r…
FlameForge: Combustion of Generalized Wooden Structures
Daoming Liu, Jonathan Klein, Florian Rist +3
We propose a unified volumetric combustion simulator that supports general wooden structures capturing the multi-phase combustion of charring materials. Complex geometric structure…
LAESI: Leaf Area Estimation with Synthetic Imagery
Jacek Kałużny, Yannik Schreckenberg, Karol Cyganik +7
We introduce LAESI, a Synthetic Leaf Dataset of 100,000 synthetic leaf images on millimeter paper, each with semantic masks and surface area labels. This dataset provides a resourc…
Generating Diverse Agricultural Data for Vision-Based Farming Applications
Mikolaj Cieslak, Umabharathi Govindarajan, Alejandro Garcia +7
We present a specialized procedural model for generating synthetic agricultural scenes, focusing on soybean crops, along with various weeds. This model is capable of simulating dis…
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods
Junchen Deng, Samhita Marri, Jonathan Klein +4
Robotic harvesting has the potential to positively impact agricultural productivity, reduce costs, improve food quality, enhance sustainability, and to address labor shortage. In t…
Domain Adaptation with Morphologic Segmentation
Jonathan Klein, Sören Pirk, Dominik L. Michels
We present a novel domain adaptation framework that uses morphologic segmentation to translate images from arbitrary input domains (real and synthetic) into a uniform output domain…
Accurately Solving Physical Systems with Graph Learning
Han Shao, Tassilo Kugelstadt, Torsten Hädrich +4
Iterative solvers are widely used to accurately simulate physical systems. These solvers require initial guesses to generate a sequence of improving approximate solutions. In this…