Hazard Detection And Avoidance For The Nova-C Lander
Not on the map. Why?
Abstract (arXiv)
In early 2022, Intuitive Machines' NOVA-C Lander will touch down on the lunar surface becoming the first commercial endeavor to visit a celestial body. NOVA-C will deliver six payloads to the lunar surface with various scientific and engineering objectives, ushering in a new era of commercial space exploration and utilization. However, to safely accomplish the mission, the NOVA-C lander must ensure its landing site is free of hazards larger than 30 cm and the slope of local terrain at touchdown is less than 10 degrees off vertical. To accomplish this, NOVA-C utilizes Intuitive Machines' precision navigation system, coupled with machine vision algorithms for scene reduction and landing site characterization. A unique aspect to the NOVA-C approach is the real-time nature of the hazard detection and avoidance algorithms--which are performed 400 meters above and down range of the intended landing site and completed within 15 seconds. In this paper, we review the theoretical foundations for the hazard detection and avoidance algorithms, describe the practical challenges of implementation on the NOVA-C flight computer, and present test and analysis results.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 1 of its 13 references that are in the map. First posted on arXiv 1 Apr 2022.
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1 of 13 references.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 2.
4 papers.
- 2022Detection and Initial Assessment of Lunar Landing Sites Using Neural Networkscited by 0
- 2024Real-Time Stochastic Terrain Mapping and Processing for Autonomous Safe Landingcited by 0
- 2026MoonAnything: A Vision Benchmark with Large-Scale Lunar Supervised Datacited by 0
- 2026Geometric Foundation Model Distillation for Efficient Lunar 3D Reconstructioncited by 0
- 2026Geometric Foundation Model Distillation for Efficient Lunar 3D Reconstruction2 Jul 2026
- 2026MoonAnything: A Vision Benchmark with Large-Scale Lunar Supervised Data1 Apr 2026
- 2024Real-Time Stochastic Terrain Mapping and Processing for Autonomous Safe Landing14 Sep 2024
- 2022Detection and Initial Assessment of Lunar Landing Sites Using Neural Networks23 Jul 2022