PVO: Panoptic Visual Odometry

Author:

Ye Weicai1,Lan Xinyue1,Chen Shuo1,Ming Yuhang2,Yu Xingyuan1,Bao Hujun1,Cui Zhaopeng1,Zhang Guofeng1

Affiliation:

1. Zhejiang University,State Key Lab of CAD&CG

2. School of Computer Science, Hangzhou Dianzi University

Funder

NSF of China

China Scholarship Council

Publisher

IEEE

Reference56 articles.

1. S3LAM: Structured Scene SLAM

2. Vision meets robotics: The KITTI dataset

3. DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency;zou;Proceedings of the European Conference on Computer Vision,0

4. EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation

5. Mask R-CNN

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1. RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments;IEEE Transactions on Visualization and Computer Graphics;2024-10

2. Towards Panoptic Segmentation Integration for SLAM with Unmanned Aerial Vehicle: A Survey;2024 Fifteenth International Conference on Ubiquitous and Future Networks (ICUFN);2024-07-02

3. Patch Trajectories for Visual Odometry in Dynamic scenes;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Panoptic-SLAM: Visual SLAM in Dynamic Environments using Panoptic Segmentation;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24

5. Monocular Visual Odometry in Mobile Robot Navigation;2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC);2024-05-21

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