Recent_SLAM_Research_2020

------------ ICRA 2020

------------ ICRA 2020 终止线 ----------

------------ CVPR 2020

------------ CVPR 2020 终止线 ----------

------------ ECCV 2020

------------ ECCV 2020 终止线 ----------

------------ IROS 2020

------------ IROS 2020 终止线 ----------

------------ ICCV 2020

------------ ICCV 2020 终止线 ----------

SLAM

1. [ Semantic SLAM ] 2020-01-13-Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment Only label the point clouds with semantic segmentation info, no improvement in accuarcy. code

2. [ Calibration ] 2020-01-13-A Generalized Framework for Autonomous Calibration of Wheeled Mobile Robots

3. [ VSLAM ] 2020-01-13-Trained Trajectory based Automated Parking System using Visual SLAM

4. [ Deep SLAM ] 2020-01-13-AD-VO: SCALE-RESILIENT VISUAL ODOMETRY USING ATTENTIVE DISPARITY MAP Learned based frame to frame VO with the input as disparity map.

5. [ Lidar Deep SLAM ] 2020-01-13-CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description Auto-Encoder based LiDAR Odometry (CAE-LO) that detects interest points from spherical ring data using 2D CAE and extracts features from multi-resolution voxel model using 3D CAE. code

6. [ VSLAM ] 2020-01-13-Good Feature Matching: Towards Accurate, Robust VO/VSLAM with Low Latency Introduction of an efficient good feature selection algorithm using the Max-logDet metric, which is an order of magnitude faster than state-of-the-art feature selection approaches. code

7. [ VSLAM ] 2020-01-13-Direct Sparse Visual-Inertial Odometry with Stereo Cameras Quantitative evaluation demonstrates that the proposed Stereo VI-DSO is superior to Stereo DSO both in terms of tracking accuracy and robustness. But the result is worse than VINS.

8. [ VSLAM ] 2020-01-14-Accurate Line Reconstruction for Point and Line-Based Stereo Visual Odometry

9. [ VSLAM ] 2020-01-14-A Stereo Visual-Inertial SLAM Approach for Indoor Mobile Robots in Unknown Environments Without Occlusions Use one-circle feature-matching method, which refers to a sequence of the circle matching for the time after space (STCM), and an STCM-based visual-inertial simultaneous localization and mapping (STCM-SLAM) technique.

10. [ Lidar Seg ] 2020-01-14-Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments

11. [ Review ] 2020-01-14-Multi-Sensor Fusion in Automated Driving: A Survey

12. [ Lidar Deep SLAM ] 2020-01-14-SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory

13. [ Deep SLAM ] 2020-01-22-Learning Topometric Semantic Maps from Occupancy Grids 2D laser semantic map.

14. [ VSLAM ] 2020-01-22-Temporal Delay Estimation of Sparse Direct Visual Inertial Odometry for Mobile Robots Calibrate the time offset between IMU and Camera.

3D Reconstruction

1. [Automatically explore] 2020-01-14-Plan3D: Viewpoint and Trajectory Optimization for Aerial Multi-View Stereo Reconstruction

Path Planning

1. [UAV] 2020-01-14-Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological PathsReplanning method based on GTO.code

2. [Auto exploration] 2020-01-14-3D Exploration and Navigation with Optimal-RRT Planners for Ground Robots in Indoor Incidents

Others.

SLAM 能力图