Visual-inertial SLAM algorithm based on enhanced feature extraction and sensor coupling
Service robots can facilitate people’s lives and perform some highly repetitive tasks. One of the core algorithms of such robots is Simultaneous Localization and Mapping (SLAM) based on vision. However, due to the characteristics of the camera itself, it cannot effectively extract image features in...
Saved in:
Main Author: | Zheng, Yumin |
---|---|
Other Authors: | Xie Lihua |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/158541 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Robust visual SLAM for autonomous vehicles in challenging environments
by: Ji, Tete
Published: (2022) -
Visual and lidar-based SLAM by variational bayesian methods
by: Jiang, Xiaoyue
Published: (2020) -
Mobile robot localization using visual inertial odometry (VIO)
by: Chen, Mingyuan
Published: (2022) -
RGB-D SLAM based on quadrotor platform
by: Zhou, Caijie
Published: (2022) -
On-board 3-D SLAM for AGV localization
by: Chen, Yongyao
Published: (2020)