The use of Neural Radiance Fields (NeRF) has the potential to revolutionize other computer vision tasks by providing a highly detailed and accurate representation of 3D scenes. NeRF offers benefits such as high interpretability, compact scene representation, and realistic appearances. These qualities make NeRF suitable for various applications beyond visual localization. For example, in semantic segmentation tasks, NeRF can provide precise depth information along with RGB values, enhancing the understanding of object boundaries and shapes. In 3D object detection, NeRF's ability to capture fine details can improve the accuracy of detecting objects in complex environments. Additionally, in Simultaneous Localization and Mapping (SLAM) applications, NeRF can offer a more robust scene representation that aids in mapping and tracking objects accurately over time.