PROCESSOR AND METHOD FOR SIMULTANEOUS LOCALIZATION AND MAPPING BASED ON REAL-TIME NEURAL NETWORK RENDERING USING SPARSE MIXTURE-OF-EXPERTS MODEL ACCELERATION ARCHITECTURE

A processor includes a sampling unit configured to hierarchically sample a 2D image collected through any image collection device and pose information of the image collection device corresponding to the 2D image, and a rendering unit configured to perform SLAM through real-time rendering for data sampled by the sampling unit, wherein the rendering unit includes a computation core configured to perform a neural network operation based on a sparse expert model including a plurality of expert neural networks and reducing a number of neural network channels by exclusively activating an expert neural network differently selected for each input batch, and a scheduler configured to schedule a processing order of input batches to improve computational efficiency of the computation core.