/Deep-SLAM

a list of papers, code, and other resources focus on deep learning SLAM system

Deep-SLAM

a list of papers, code, dataset and other resources focus on deep learning SLAM sysytem

Camera

  • DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras [code][paper] NeurIPS 2021 Oral
  • Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks [no code][paper] ICRA 2017
  • Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction [no code][paper] CVPR 2018
  • Undeepvo: Monocular visual odometry through unsupervised deep learning [code][paper] ICRA 2018
  • Deeptam: Deep tracking and mapping [no code][paper] ECCV 2018
  • Beyond tracking: Selecting memory and refining poses for deep visual odometry [no code][paper] CVPR 2019
  • Sequential adversarial learning for self-supervised deep visual odometry [no code][paper] ICCV 2019
  • D2VO: Monocular Deep Direct Visual Odometry [no code][paper] IROS 2020
  • Deepfactors: Real-time probabilistic dense monocular slam [no code][paper] IEEE Robotics and Automation Letters, 2020
  • Self-supervised deep visual odometry with online adaptation [no code][paper] CVPR 2020
  • Voldor: Visual odometry from log-logistic dense optical flow residuals [code][paper] CVPR 2020
  • TartanVO: A Generalizable Learning-based VO [code][paper] CoRL 2020
  • gradSLAM: Automagically differentiable SLAM, CVPR 2020
  • Generalizing to the Open World: Deep Visual Odometry with Online Adaptation [no code][paper] CVPR 2021
  • Unsupervised monocular visual odometry based on confidence evaluation [no code][paper] IEEE Transactions on Intelligent Transportation Systems, 2021

LiDAR

Dataset