CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction
Given the recent advances in depth prediction from Convolutional Neural Networks (CNNs), this paper investigates how predicted depth maps from a deep neural network can be deployed for the goal of accurate and dense monocular reconstruction. We propose a method where CNN-predicted dense depth maps are naturally fused together with …