DUDMap: 3D RGB-D mapping for dense, unstructured, and dynamic environment
Simultaneous localization and mapping (SLAM) problem has been extensively studied by researchers in the field of robotics, however, conventional approaches in mapping assume a static environment. The static assumption is valid only in a small region, and it limits the application of visual SLAM in d...
Main Authors: | Özgür Hastürk, Aydan M Erkmen |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2021-06-01
|
Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.1177/17298814211016178 |
Similar Items
-
Efficient incremental map segmentation in dense RGB-D maps
by: Whelan, Thomas, et al.
Published: (2015) -
RGB–D terrain perception and dense mapping for legged robots
by: Belter Dominik, et al.
Published: (2016-03-01) -
Dense RGB-D Semantic Mapping with Pixel-Voxel Neural Network
by: Cheng Zhao, et al.
Published: (2018-09-01) -
Robust real-time visual odometry for dense RGB-D mapping
by: Whelan, Thomas, et al.
Published: (2015) -
Dense RGB-D SLAM with Multiple Cameras
by: Xinrui Meng, et al.
Published: (2018-07-01)