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Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新
| Date | Stars |
|---|---|
| 2026-07-24 | 2744 |
| 2026-07-25 | 2744 |
| 2026-07-28 | 2744 |
| 2026-07-30 | 2744 |
| 2026-08-06 | 2744 |
Today
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Momentum
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growth rate 0.00%/day
# Recent_SLAM_Research_2021 [SLAM research 2018](https://github.com/YiChenCityU/Recent_SLAM_Research/blob/master/SLAM_Research_2018.md) [SLAM research 2019](https://github.com/YiChenCityU/Recent_SLAM_Research/blob/master/SLAM_Research_2019.md) [SLAM research 2020](https://github.com/YiChenCityU/Recent_SLAM_Research/blob/master/SLAM_Research_2020.md) ### SLAM #### 1. [Fusion] 2021-01-14-[Visual-IMU State Estimation with GPS and OpenStreetMap for Vehicles on a Smartphone](https://ieeexplore.ieee.org/abstract/document/9305386) #### 2. [Math] 2021-01-14-[On the Tightness of Semidefinite Relaxations for Rotation Estimation](https://arxiv.org/pdf/2101.02099.pdf) #### 3. [Calibration] 2021-01-14-[On-the-fly Extrinsic Calibration of Non-Overlapping in-Vehicle Cameras based on Visual SLAM under 90-degree Backing-up Parking](https://ieeexplore.ieee.org/abstract/document/9304530) #### 4. [Descriptor] 2021-01-14-[ASD-SLAM: A Novel Adaptive-Scale Descriptor Learning for Visual SLAM](https://ieeexplore.ieee.org/abstract/document/9304626) #### 5. [Panoramas] 2021-01-14-[UPSLAM: Union of Panoramas SLAM](https://arxiv.org/pdf/2101.00585.pdf) #### 6. [PhD thesis] 2021-01-14-[Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry](https://elib.dlr.de/137048/1/thesis_ks.pdf) #### 7. [Calibration] 2021-01-23-[Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups](https://arxiv.org/pdf/2101.04431.pdf) #### 8. [Math] 2021-01-23-[Factor Graphs: Exploiting Structure in Robotics](https://www.annualreviews.org/doi/abs/10.1146/annurev-control-061520-010504) #### 9. [ICP] 2021-01-23-[Provably Approximated ICP](https://arxiv.org/pdf/2101.03588.pdf) #### 10. [MC-slam] 2021-01-23-[TIMA SLAM: Tracking Independently and Mapping Altogether for an Uncalibrated Multi-Camera System](https://www.mdpi.com/1424-8220/21/2/409) #### 11. [VIO] 2021-02-09-[Open AccessArticle Monocular Visual Inertial Direct SLAM with Robust Scale Estimation for Ground Robots/Vehicles](https://www.mdpi.com/2218-6581/10/1/23/htm) #### 12. [VIO] 2021-02-09-[VIO-Aided Structure from Motion Under Challenging Environments](https://arxiv.org/pdf/2101.09657.pdf) #### 13. [Calibration] 2021-02-09-[High-Precision Multicamera-Assisted Camera-IMU Calibration: Theory and Method](https://ieeexplore.ieee.org/abstract/document/9324746) #### 14. [DirectVO] 2021-02-09-[Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry](https://arxiv.org/pdf/2102.01191.pdf) #### 15. [Calibration] 2021-02-25-[Simultaneous End User Calibration of Multiple Magnetic Inertial Measurement Units With Associated Uncertainty](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9348890) #### 16. [VSLAM] 2021-02-25-[Point-line-based RGB-D SLAM and Bundle Adjustment Uncertainty Analysis](https://arxiv.org/pdf/2102.07110.pdf) #### 17. [VIO] 2021-02-25-[Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM](https://arxiv.org/pdf/2102.08596.pdf) #### 18. [VIO] 2021-03-09-[OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications](https://arxiv.org/pdf/2102.04060.pdf) #### 19. [LVIO] 2021-03-09-[R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping](https://arxiv.org/pdf/2102.12400.pdf) #### 20. [Review] 2021-03-09-[Visual and Visual-Inertial SLAM: State of the Art, Classification,and Experimental Benchmarking](https://www.hindawi.com/journals/js/2021/2054828/) #### 21. [DVS] 2021-03-09-[Data-set for Event-based Optical Flow Evaluation in Robotics Applications](https://www.scitepress.org/Papers/2021/103203/103203.pdf) #### 22. [Lidar slam] 2021-03-09-[GR-LOAM: LiDAR-based sensor fusion SLAM for ground robots on complex terrain](https://www.sciencedirect.com/science/article/abs/pii/S0921889021000440) #### 23. [Fusion] 2021-03-09-[Range-Focused Fusion of Camera-IMU-UWB for Accurate and Drift-Reduced Localization](https://ieeexplore.ieee.org/abstract/docu
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c7e15fb3dae86b8f, topic:slam, readme:robotics, name:slam