Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

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Self-Supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness

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Multi-Scale Context Attention Network for Stereo Matching

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Deep learning-based 3D reconstruction from multiple images: A survey

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Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications

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Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss

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A Survey on Deep Learning Architectures for Image-based Depth ReconstructionPreprint

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Learning Meshes for Dense Visual SLAM

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Constant Velocity Constraints for Self-Supervised Monocular Depth Estimation

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Self-Supervised 3D Reconstruction and Ego-Motion Estimation Via On-Board Monocular Video

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Maximizing Self-Supervision From Thermal Image for Effective Self-Supervised Learning of Depth and Ego-Motion

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Joint learning of frequency and spatial domains for dense image prediction

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XVO: Generalized Visual Odometry via Cross-Modal Self-Training

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Monocular Depth Estimation in New Environments With Absolute Scale

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Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation With U-Net Extension and Clip Loss

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Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion

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Deep Unsupervised Learning Based Visual Odometry with Multi-scale Matching and Latent Feature Constraint

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Unsupervised Learning of Monocular Depth and Ego-Motion in Outdoor/Indoor Environments

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World From Blur

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DRO: Deep Recurrent Optimizer for Structure-from-Motion.Preprint

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Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency

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Flexible Supervised Autonomy for Exploration in Subterranean Environments

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The Third Monocular Depth Estimation Challenge

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Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip LossPreprint

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Monocular Depth Estimation with Self-supervised Instance AdaptationPreprint

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Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes

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Accurate, Low-Latency Visual Perception for Autonomous Racing: Challenges, Mechanisms, and Practical Solutions

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HAPNet: hierarchically aggregated pyramid network for real-time stereo matching

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On Incremental Structure from Motion Using Lines

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PDANet: Self-Supervised Monocular Depth Estimation Using Perceptual and Data Augmentation Consistency

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DRO: Deep Recurrent Optimizer for Video to Depth

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Survey and Research Challenges in Monocular Visual Odometry

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Deep Unsupervised Visual Odometry Via Bundle Adjusted Pose Graph Optimization

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Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision

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Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes

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Two Stream Networks for Self-Supervised Ego-Motion EstimationPreprint

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SAM-Net: Semantic probabilistic and attention mechanisms of dynamic objects for self-supervised depth and camera pose estimation in visual odometry applications

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Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities From Visual SLAM

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Unsupervised Learning of Depth Estimation and Camera Pose With Multi-Scale GANs

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Dynamic Object-Aware Visual Odometry (VO) Estimation Based on Optical Flow Matching

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Scene-aware refinement network for unsupervised monocular depth estimation in ultra-low altitude oblique photography of UAV

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Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV

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SPIdepth: Strengthened Pose Information for Self-Supervised Monocular Depth Estimation

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Beyond Learning: Back to Geometric Essence of Visual Odometry via Fusion-Based Paradigm

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A dense RGB-D SLAM algorithm based on convolutional neural network of multi-layer image invariant feature

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Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World

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Pseudo-LiDAR for Visual Odometry

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Self-supervised deep monocular visual odometry and depth estimation with observation variation

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360° Surface Regression with a Hyper-Sphere Loss

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Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes

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Mixed-Scale Unet Based on Dense Atrous Pyramid for Monocular Depth Estimation

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MDN-VO: Estimating Visual Odometry with Confidence

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Unsupervised Monocular Depth Estimation With Channel and Spatial Attention

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DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network

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Improving Learning-based Ego-motion Estimation with Homomorphism-based Losses and Drift Correction

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Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of EgomotionPreprint

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An Overview of Perception and Decision-Making in Autonomous Systems in the Era of LearningPreprint

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On the Uncertain Single-View Depths in Colonoscopies

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A Generalizable D-VIO and Its Fusion With GNSS/IMU for Improved Autonomous Vehicle Localization

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SLAM Based on Camera-2D LiDAR Fusion

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Self-Supervised Learning of Monocular Depth Estimation Based on Progressive Strategy

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FisheyeDistanceNet++: Self-Supervised Fisheye Distance Estimation with Self-Attention, Robust Loss Function and Camera View Generalization

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Cross-Modal Knowledge Distillation for Depth Privileged Monocular Visual Odometry

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Unsupervised depth estimation from monocular videos with hybrid geometric-refined loss and contextual attention

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Synthetic Deep Neural Network Design for Lidar-inertial Odometry Based on CNN and LSTM

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Panoramic depth estimation via supervised and unsupervised learning in indoor scenes

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Unsupervised Monocular Depth Perception: Focusing on Moving Objects

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Self-Supervised Learning of Depth and Ego-Motion for 3D Perception in Human Computer Interaction

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