Mobile robot localization using visual inertial odometry (VIO)

Mobile robot localization using visual inertial odometry (VIO)

The paper evaluates the performance of a VIO algorithms Vins-Mono, Vins-Fusion, MSCKF and Open-Vins using EUROC dataset and self recorded datasets such as NTU dataset.

Saved in:
Bibliographic Details
Main Author: Chen, Mingyuan
Other Authors: Zhang Dao Hua
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Online Access:https://hdl.handle.net/10356/157577
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:The paper evaluates the performance of a VIO algorithms Vins-Mono, Vins-Fusion, MSCKF and Open-Vins using EUROC dataset and self recorded datasets such as NTU dataset.

Similar Items