AirDOS: Dynamic SLAM benefits from Articulated Objects

Author:

Qiu Yuheng1,Wang Chen1,Wang Wenshan1,Henein Mina2,Scherer Sebastian1

Affiliation:

1. Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA,15213

2. Australian National University,System, Theory and Robotics Lab

Funder

Sony

Publisher

IEEE

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. KISS—Keep It Static SLAMMOT—The Cost of Integrating Moving Object Tracking into an EKF-SLAM Algorithm;Sensors;2024-09-04

2. Multi-Vehicle Cooperative Simultaneous LiDAR SLAM and Object Tracking in Dynamic Environments;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. SFD-SLAM: a novel dynamic RGB-D SLAM based on saliency region detection;Measurement Science and Technology;2024-07-09

4. Improved visual SLAM algorithm in dynamic environments incorporating optical flow and semantic information;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

5. DynaMeshSLAM: A Mesh-Based Dynamic Visual SLAMMOT Method;IEEE Robotics and Automation Letters;2024-06

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