Towards Open World NeRF-Based SLAM

Understand

Neural Radiance Fields (NeRFs) offer versatility and robustness in map representations for Simultaneous Localization and Mapping (SLAM) tasks.

• This paper extends NICE-SLAM, a recent state-of-the-art NeRF-based SLAM algorithm capable of producing high quality NeRF maps.
• However, depending on the hardware used, the required number of iterations to produce these maps often makes NICE-SLAM run at less than real time.
• Additionally, the estimated trajectories fail to be competitive with classical SLAM approaches.