Learning a Robust Hybrid Descriptor for Robot Visual Localization
Long-term robust visual localization is one of the main challenges of long-term visual navigation for mobile robots. Due to factors such as illumination, weather, and season, mobile robots continuously navigate with visual information in a complex scene, which is likely to lead to failure localizati...
Saved in:
| Main Authors: | Qingwu Shi, Junjun Wu, Zeqin Lin, Ningwei Qin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Robotics |
| Online Access: | http://dx.doi.org/10.1155/2022/9354909 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MCRNet: Underwater image enhancement using multi-color space residual network
by: Ningwei Qin, et al.
Published: (2024-09-01) -
On a Robust Descriptor of the Flue Organ Pipe Transient
by: Viktor HRUŠKA, et al.
Published: (2020-07-01) -
Robust robot localization with visually adaptive consensus filters in dynamic corridor environments
by: Suhyeon Kang, et al.
Published: (2025-04-01) -
Development of Robust Behaviour Recognition for an at-Home Biomonitoring Robot with Assistance of Subject Localization and Enhanced Visual Tracking
by: Nevrez Imamoglu, et al.
Published: (2014-01-01) -
Robust Observer Design for Discrete Descriptor Systems with Packet Losses
by: Yan Liu, et al.
Published: (2021-01-01)