2021년 6월 SLAM 뉴스

논문 이름 누르면 자세한 정보가 열립니다!

이번 달 내가 관심가지는 논문들 (키노트/랜드마크 급)

Superquadric Object Representation for Optimization-based Semantic SLAM - [논문 링크](https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/487527/1/asldoc_2021_ftschopp_super_quadrics.pdf)
RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving - [논문 링크](https://arxiv.org/pdf/2106.02527.pdf)
The 2021 Image Similarity Dataset and Challenge - [논문 링크](https://arxiv.org/pdf/2106.09672.pdf)
TAG-Reg: Iterative Accurate Global Registration Algorithm - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9428303)
RISE: Real-Time Iteration Scheme for Estimation applied to Visual-Inertial Odometry - [논문 링크](http://copland.udel.edu/~ghuang/icra21-vins-workshop/papers/02-Foehn_RISE-ICRAWS-VINS.pdf)
Crowd-SLAM: Visual SLAM Towards Crowded Environments using Object Detection - [논문 링크](https://link.springer.com/article/10.1007/s10846-021-01414-1)
DETReg: Unsupervised Pretraining with Region Priors for Object Detection - [논문 링크](https://arxiv.org/pdf/2106.04550.pdf)
ORB-SLAM2S: A Fast ORB-SLAM2 System with Sparse Optical Flow Tracking - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9435915)

그 외

A Comparison of Graph Optimization Approaches for Pose Estimation in SLAM - [논문 링크](https://lamor.fer.hr/images/50036607/2021-ajuric-comparison-mipro.pdf) - [리뷰 글](https://changh95.github.io/20210607-solver-comp/?highlight=juric) - SE-Sync 최고! GTSAM~Ceres 성능 또이또이! g2o는 쓰기 쉬움!
Absolute Scale Estimation Approach for Monocular Visual Odometry - [논문 링크](https://research.latinxinai.org/papers/cvpr/2021/pdf/58_CameraReady_58.pdf)
Relative scale estimation approach for monocular visual odometry - [논문 링크](https://research.latinxinai.org/papers/cvpr/2021/pdf/59_CameraReady_59.pdf)
Improving Inertial Navigation Accuracy with Bias Modeling - [논문 링크](https://link.springer.com/chapter/10.1007/978-3-030-64151-1_13)
Recalibrating the KITTI Dataset Camera Setup for Improved Odometry Accuracy - [논문 링크](https://lamor.fer.hr/images/50036607/2021-cvisic-kittical-ecmr.pdf)
luvHarris: A Practical Corner Detector for Event-cameras - [논문 링크](https://arxiv.org/pdf/2105.11443.pdf)
A fast instance segmentation with one-stage multi-task deep neural network for autonomous driving - [논문 링크](https://www.sciencedirect.com/science/article/abs/pii/S0045790621001920)
Dynamic RGB-D SLAM Based on Static Probability and Observation Number - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9459604)
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation - [논문 링크](https://arxiv.org/pdf/2105.07593.pdf)
Pyramid Feature Attention Network for Monocular Depth Prediction - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9428446)
Scene Coordinate Regression Network With Global Context-Guided Spatial Feature Transformation for Visual Relocalization - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9437699)
ATVIO: Attention Guided Visual-Inertial Odometry - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9413912)
Globally Optimal Consensus Maximization for Relative Pose Estimation With Known Gravity Direction - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9447984)
A nonlinear optimization-based monocular dense mapping system of visual-inertial odometry - [논문 링크](https://www.sciencedirect.com/science/article/abs/pii/S0263224121005121)
A Robust Optical Flow Tracking Method Based On Prediction Model for Visual-Inertial Odometry - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9429927)
Assessment of Map Construction in vSLAM - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9438884)
Spatial semantic graph enhanced monocular SLAM System - [논문 링크](https://onlinelibrary.wiley.com/doi/abs/10.1002/cav.2025)
Scale-Adaptive ICP - [논문 링크](https://www.sciencedirect.com/science/article/abs/pii/S1524070321000187)
Robust registration algorithm based on rational quadratic kernel for point sets with outliers and noise - [논문 링크](https://link.springer.com/article/10.1007/s11042-021-10851-x)
A Robust Optical Flow Tracking Method Based On Prediction Model for Visual-Inertial Odometry - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9429927)
A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor - [논문 링크](http://www.ijac.net/cn/article/doi/10.1007/s11633-021-1303-2)
A Visual SLAM Image Mismatching Filter Algorithm Based on Progressive Aample Consensus - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9440562)
Robust Sensor Fusion with Pairwise Dynamic Covariance Scaling for Localization in Urban Areas - [논문 링크](https://irap.kaist.ac.kr/publications/yjkim-2021-ur.pdf) - 김아영 교수님!
Single Image Depth Prediction with Wavelet Decomposition - [논문 링크](https://arxiv.org/pdf/2106.02022.pdf)
State of the Art in Vision-Based Localization Techniques for Autonomous Navigation Systems - [논문 링크](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9438708)
Automatic Hyper-Parameter Tuning for Black-box LiDAR Odometry - [논문 링크](https://staff.aist.go.jp/k.koide/assets/pdf/icra2021.pdf)
Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning - [논문 링크](https://arxiv.org/pdf/2105.14152.pdf)
MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment - [논문 링크](https://arxiv.org/pdf/2105.14994.pdf)
Quantized Self-supervised Local Feature for Real-time Robot Indirect VSLAM - [논문 링크](https://ieeexplore.ieee.org/abstract/document/9444777)
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes - [논문 링크](https://arxiv.org/pdf/2105.02195.pdf)