mlsanityData to 7 Oct 2026

NaRPA: Navigation and Rendering Pipeline for Astronautics

arXiv 2211.01566 ↗First posted 3 Nov 2022cs.GR cs.CV cs.ROcited by 2

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Abstract (arXiv)

This paper presents the applications of scientific ray-tracing in modeling and simulating light transport for space-borne image data generation. A ray-tracing engine, the Navigation and Rendering Pipeline for Astronautics (NaRPA), is introduced as a rendering framework to generate virtual datasets and support simulations for robust navigation pipelines. Sensor and environment models that enable the synthesis of space-to-space and ground-to-space virtual observations are presented. The work demonstrates the capabilities of simulating passive and active vision-based sensors using NaRPA to facilitate the design, testing, and verification of aerospace visual navigation algorithms. Additionally, the paper describes a velocimeter LiDAR model and its statistical validation with experimental data.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 4 of its 123 references that are in the map. First posted on arXiv 3 Nov 2022.

Builds on

4 of 123 references.

References · 4

  1. 2020A Survey on Deep Learning Techniques for Stereo-based Depth Estimationcited by 90
  2. 2018Scientific image rendering for space scenes with the SurRender softwarecited by 8
  3. 2021Image simulation for space applications with the SurRender softwarecited by 8
  4. 2022FPGA Hardware Acceleration for Feature-Based Relative Navigation Applicationscited by 2

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Cited by year

Citing papers per year: 2022: 1; 2023: 0; 2024: 1.

2 papers.