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

A Transfer‐Learning Approach for Accelerated MRI Using Deep Neural Networks

(2020) Salman Ul Hassan Dar et al.   MAGNETIC RESONANCE IN MEDICINE

VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

(2018) Tong Qin et al.   IEEE Transactions on Robotics

On-Manifold Preintegration for Real-Time Visual--Inertial Odometry

(2017) Christian Forster et al.   IEEE Transactions on Robotics

ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

(2017) Raul Mur-Artal et al.   IEEE Transactions on Robotics

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

(2016) Fayao Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Visual Place Recognition: A Survey

(2016) Stephanie Lowry et al.   IEEE Transactions on Robotics

Unsupervised learning to detect loops using deep neural networks for visual SLAM system

(2015) Xiang Gao et al.   AUTONOMOUS ROBOTS

ORB-SLAM: A Versatile and Accurate Monocular SLAM System

(2015) Raul Mur-Artal et al.   IEEE Transactions on Robotics

Keyframe-based visual–inertial odometry using nonlinear optimization

(2014) Stefan Leutenegger et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

High-precision, consistent EKF-based visual-inertial odometry

(2013) Mingyang Li et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION