Point cloud based loop detection and localization
Localization is one of the most essential elements for autonomous vehicles because autonomous navigation totally relies on the awareness of the current location. SLAM is an important technique for lots of localization methods, while most of the SLAM methods would suffer from drift in long-time proce...
Saved in:
Main Author: | Chen, Yihuang |
---|---|
Other Authors: | Wang Dan Wei |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/140704 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning-based interest point detector for 3D point clouds
by: Wang, Xiaoyue
Published: (2022) -
Dynamic object removal in point clouds for efficient SLAM
by: Nithish, Muthuchamy Selvaraj
Published: (2019) -
Heterogeneous robots localization based on convolution neural network
by: Ye, Yingjian
Published: (2020) -
Magnetic field-based mobile robot localization in repetitive environments
by: Jiang, Zichen
Published: (2020) -
Detection and tracking of objects using a multi-camera system (Point Grey's Bumblebee XB3)
by: Chua, Yong Lin.
Published: (2010)