mlsanityData to 14 Oct 2026

Image simulation for space applications with the SurRender software

arXiv 2106.11322 ↗First posted 21 Jun 2021astro-ph.EP astro-ph.IM cs.AIcited by 8

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Abstract (arXiv)

Image Processing algorithms for vision-based navigation require reliable image simulation capacities. In this paper we explain why traditional rendering engines may present limitations that are potentially critical for space applications. We introduce Airbus SurRender software v7 and provide details on features that make it a very powerful space image simulator. We show how SurRender is at the heart of the development processes of our computer vision solutions and we provide a series of illustrations of rendered images for various use cases ranging from Moon and Solar System exploration, to in orbit rendezvous and planetary robotics.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 1 of its 17 references that are in the map. First posted on arXiv 21 Jun 2021.

Builds on

1 of 17 references.

References · 1

  1. 2018Scientific image rendering for space scenes with the SurRender softwarecited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 2; 2026: 2.

8 papers.

  1. 2024Training Datasets Generation for Machine Learning: Application to Vision Based Navigationcited by 3
  2. 2022NaRPA: Navigation and Rendering Pipeline for Astronauticscited by 2
  3. 2023Vision-Based Estimation of Small Body Rotational State during the Approach Phasecited by 2
  4. 2024RETINA: a hardware-in-the-loop optical facility with reduced optical aberrationscited by 0
  5. 2025GAN-enhanced Simulation-driven DNN Testing in Absence of Ground Truthcited by 0
  6. 2025Enabling Robust, Real-Time Verification of Vision-Based Navigation through View Synthesiscited by 0
  7. 2026Evaluation of image simulation open source solutions for simulation of synthetic images in lunar environmentcited by 0
  8. 2026Principal Component Analysis for Lunar Crater Detectioncited by 0