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Software Fostering a community-driven and sustainable HELIOS++ scientific software

NEWS

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Press release:
The successful proposal of our new project has been featured in Heidelberg University's News Room 

See the full press release

Logo with Text: sustainable HELIOS++ scientific software and logo of scientific software centre as small rectangle in the background

OBJECTIVE

The primary objective of this project is to elevate HELIOS++, our laser scanning simulation software, to a professional level of software development and quality and to establish sustainable institutional structures. This will be achieved by integrating the Scientific Software Center (SSC) at Heidelberg University into the development process, while fostering a larger, decentralized user and developer community. 

In this project, we will focus on improvements in software architecture, quality assurance, reproducibility, usability, interoperability, and active community building. 

This will benefit a large number of current and future users who integrate HELIOS++ as an important module in their research and data analysis processes.

BACKGROUND

HELIOS++ is a versatile open-source scientific software for virtual laser scanning (VLS). It enables researchers and professionals to simulate point cloud data, replicating what a laser scanner would capture. This software has various practical applications in the field of geospatial research and beyond:

  • Data Acquisition Planning: Researchers can use HELIOS++ to plan data acquisition strategies and evaluate the feasibility of their scanning projects.
  • Teaching: HELIOS++ serves as an educational tool, helping students and professionals better grasp the concepts of laser scanning.
  • Sensitivity Analyses: By simulating different scenarios, researchers can conduct sensitivity analysis to assess how variations impact the outcomes of laser scanning.
  • Machine Learning Data: HELIOS++ is valuable for generating training datasets for supervised machine learning algorithms, as is the research focus of VirtuaLearn3D.
  • Algorithm and Sensor Development: Researchers and developers can employ HELIOS++ to test and refine novel algorithms and sensor technologies without the need for costly physical equipment.

KEY FEATURES

HELIOS++ as a scientific software:

  • Open Source: HELIOS++ is an open-source project hosted on GitHub, fostering transparency, collaboration, and the exchange of knowledge with the scientific community
  • Modular Architecture: The modular structure provides researchers with the flexibility to adapt and customize the different components of laser scanning (survey, platform, scanner scene) as needed for their research purpose
  • Command Line and Python Interface: HELIOS++ can be used as a command line tool or with the Python bindings pyhelios
  • Comprehensive Documentation: HELIOS++ has an extensive documentation in the form of a Wiki and a gallery of examples.
HELIOS++ software modules (platform, scanner, scene, survey) and LiDAR simulation sequence.

OUR PROJECT PARTNER

SSC

Scientific Software Center

About

The SSC is dedicated to supporting and improving scientific software development to ensure reproducibility, transparency and sustainability. It does so by software engineering training for scientists, collaboration on software development, and outreach activities.

RELATED PROJECTS

HELIOS++

VirtuaLearn3D

HELIOS++

Heidelberg LiDAR Operations Simulator

RELATED PUBLICATIONS

Table

Schäfer, J., Weiser, H., Winiwarter, L., Höfle, B., Schmidtlein, S. & Fassnacht, F.E. (2023): Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator. Forestry: An International Journal of Forest Research. Vol. 2023, pp. 1-19. DOI: 10.1093/forestry/cpad006.
Zahs, V., Anders, K., Kohns, J., Stark, A. & Höfle, B. (2023): Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data. International Journal of Applied Earth Observation and Geoinformation. Vol. 122, pp. 103406. DOI: 10.1016/j.jag.2023.103406.
Esmorís, A. M., Yermo, M., Weiser, H., Winiwarter, L., Höfle, B. & Rivera, F.F. (2022): Virtual LiDAR simulation as a high performance computing challenge: Towards HPC HELIOS++. IEEE Access 10, pp. 105052-105073. DOI: 10.1109/ACCESS.2022.3211072.
Winiwarter, L., Esmorís Pena, A., Weiser, H., Anders, K., Martínez Sanchez, J., Searle, M., Höfle, B. (2022): Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic full-waveform 3D laser scanning. Remote Sensing of Environment. Vol. 269, pp. 112772.DOI: 10.1016/j.rse.2021.112772.
Weiser, H., Winiwarter, L., Anders, K., Fassnacht, F.E. & Höfle, B. (2021): Opaque voxel-based tree models for virtual laser scanning in forestry applications. Remote Sensing of Environment. Vol. 265, pp. 112641. DOI: 10.1016/j.rse.2021.112641.
Bechtold, S. & Höfle, B. (2016): HELIOS: A Multi-purpose LiDAR Simulation Framework for Research, Planning and Training of Laser Scanning Operations With Airborne, Ground-based Mobile and Stationary Platforms. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, pp. 161-168. DOI: 10.5194/isprs-annals-III-3-161-2016.

FUNDING

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 

  • Project number: 528521476
  • Call: „Research Software – Quality Assured and Re-usable
  • Duration: 2024-2027
Text: “Deutsche Forschungsgemeinschaft -German Research Foundation”

CONNECT

Scientific Software Center (SSC)

PROJECT PARTNERS

Dr. Dominic Kempf

3DGeo

Team Heidelberg University

Bernhard Höfle
Hannah Weiser

3DGeo & Affiliations

HELIOS++ Developer Board

Bernhard Höfle
Hannah Weiser
Alberto Esmorís Pena (Catallactical S.L., ES)
Lukas Winiwarter (University of Innsbruck, AT)

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