Mahboubeh Asadi

Di-NeRF: Distributed NeRF for Collaborative Learning With Relative Pose Refinement

Collaborative mapping of unknown environments can be done faster and more robustly than a single robot. However, a collaborative approach requires a distributed paradigm to be scalable and deal with communication issues. This work presents a fully distributed algorithm enabling a group of robots to