Neural Radiance Maps for Extraterrestrial Navigation and Path Planning
Autonomous vehicles such as the Mars rovers currently lead the vanguard of surface exploration on extraterrestrial planets and moons. In order to accelerate the pace of exploration and science objectives, it is critical to plan safe and efficient paths for these vehicles. However, current rover autonomy is limited by a lack of global maps which can be easily constructed and stored for onboard re-planning. Recently, Neural Radiance Fields (NeRFs) have been introduced as a detailed 3D scene representation which can be trained from sparse 2D images and efficiently stored. We propose to use NeRFs to construct maps for online use in autonomous navigation, and present a planning framework which...
| Authors | Adam Dai, Shubh Gupta, Grace Gao |
|---|---|
| Primary category | cs.RO |
| Published | 18 March 2026 |
| Last updated at source | 18 March 2026 |
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