DynamicFilter: an Online Dynamic Objects Removal Framework for Highly Dynamic Environments
Author:
Affiliation:
1. University of Hong Kong
2. Southern University of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812356.pdf?arnumber=9812356
Reference21 articles.
1. Remove, then Revert: Static Point cloud Map Construction using Multiresolution Range Images
2. Octomap: A probabilistic, flexible, and compact 3d map repre-sentation for robotic systems;wurm;Proc of the ICRA 2010 Workshop on Best Practice in 3D Perception and Modeling for Mobile Manipulation,2010
3. ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building
4. Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving
5. Motion-based detection and tracking in 3D LiDAR scans
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2. Observation Time Difference: an Online Dynamic Objects Removal Method for Ground Vehicles;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. ERASOR++: Height Coding Plus Egocentric Ratio Based Dynamic Object Removal for Static Point Cloud Mapping;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. DynaInsRemover: A Real-time Dynamic Instance-Aware Static 3D LiDAR Mapping Framework for Dynamic Environment;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
5. A Vertical Distribution Descriptor Based on Static Point Cloud Map Building from 3D LiDAR Data;2024 4th Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS);2024-02-24
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