PLSAV: Parallel loop searching and verifying for loop closure detection
Abstract Visual simultaneous localization and mapping (vSLAM), one of the most important applications in autonomous vehicles and robots to estimate the position and pose using inexpensive visual sensors, suffers from error accumulation for long‐term navigation without loop closure detection. Recentl...
Main Authors: | Zhe Yang, Yun Pan, Lei Deng, Yuan Xie, Ruohong Huan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-05-01
|
Series: | IET Intelligent Transport Systems |
Subjects: | |
Online Access: | https://doi.org/10.1049/itr2.12054 |
Similar Items
-
Selective spectral correlation for efficient map merging in multi‐robot systems
by: Heoncheol Lee
Published: (2021-04-01) -
Gender discrimination, age group classification and carried object recognition from gait energy image using fusion of parallel convolutional neural network
by: Newlin Shebiah Russel, et al.
Published: (2021-01-01) -
MPI: Multi‐receptive and parallel integration for salient object detection
by: Han Sun, et al.
Published: (2021-11-01) -
Parallel global convolutional network for semantic image segmentation
by: Xing Bai, et al.
Published: (2021-01-01) -
End‐to‐end feature fusion Siamese network for adaptive visual tracking
by: Dongyan Guo, et al.
Published: (2021-01-01)