Visual place recognition for unmanned vehicles in city-scale challenging environments
Large-scale visual place recognition (VPR) involves retrieving reference images that depict the same location of the given query image. It can be applied to loop closure detection within Simultaneous Locations and Mapping (SLAM) for robot systems. With the rapid development of mobile robots, long-te...
Saved in:
Main Author: | Peng, Guohao |
---|---|
Other Authors: | Wang Dan Wei |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/165647 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Place recognition for unmanned vehicle based on 3D LiDAR and semantic point cloud
by: Zhao, Yangyang
Published: (2024) -
SectionKey: 3-D semantic point cloud descriptor for place recognition in large-scale environments
by: Jin, Shutong
Published: (2022) -
Deep learning for unmanned aerial vehicle-based object counting
by: Yuan, Ruizhi
Published: (2023) -
Place recognition for indoor navigation
by: Wee, Jun Hao
Published: (2020) -
Learning descriptors for sequence-based hierarchical place recognition
by: Lan, Xin
Published: (2022)