Awesome-SLAM-Papers

A curated list of SLAM-related papers / SLAM文章速递

Stay tuned for constant updates!

Last updated: Mar. 29th, 2019.

The repo is maintained by Youjie Xia. The repo mainly summuries the academic publishing relevant to SLAM/VO/VIO/SfM, ect. And it was inspired by YiChenCityU's repo - Recent_SLAM_Research.

If you think this repo is useful, please watch, star or fork it!

Welcome to contribute to this repo, if you are interested in SLAM! Feel free to creat a pull request or contact me.

Regrading a curated list of SLAM resources, please refer to Awesome-SLAM.

Visual-Inertial SLAM

8. 2019-Q1-Semi-direct monocular visual and visual-inertial SLAM with loop closure detection

7. 2019-Q1-A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

6. 2019-Q1-A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

5. 2018-Q4-Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect

4. 2018-Q4-Information Sparsification in Visual-Inertial Odometry

3. 2018-Q4-On-Manifold Preintegration for Real-Time Visual-Inertial Odometry

2. 2018-Q4-VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

1. 2018-Q1-Visual-Inertial Monocular SLAM with Map Reuse

Visual SLAM

4. 2019-04-02-Visual SLAM: Why Bundle Adjust?, ICRA 2019.

3. 2019-Q1-Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM

2. 2019-Q1-GSLAM: A General SLAM Framework and Benchmark

1. 2019-Q1-Loosely-Coupled Semi-Direct Monocular SLAM

Visual/Visual-Inertial SLAM Datasets and Benchmarks

2. 2018-Q4-A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots

1. 2018-Q4-The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

Survey

3. 2019-Q2-Visual-Inertial Navigation: A Concise Review, ICRA 2019.

2. 2018-Q4-Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

1. 2018-Q4-Visual SLAM algorithms: a survey from 2010 to 2016

Tutorials

To be updated...