LCPF: A Particle Filter Lidar SLAM System With Loop Detection and Correction
A globally consistent map is the basis of indoor robot localization and navigation. However, map built by Rao-Blackwellized Particle Filter (RBPF) doesn’t have high global consistency which is not suitable for long-term application in large scene. To address the problem, we present an imp...
Guardado en:
Autores principales: | Fuyu Nie, Weimin Zhang, Zhuo Yao, Yongliang Shi, Fangxing Li, Qiang Huang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9816db6acefa4116934dcd2c537163f7 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Real-Time Closed-Loop Detection Method of vSLAM Based on a Dynamic Siamese Network
por: Quande Yuan, et al.
Publicado: (2021) -
Using a Two-Stage Method to Reject False Loop Closures and Improve the Accuracy of Collaborative SLAM Systems
por: Xiaoguo Zhang, et al.
Publicado: (2021) -
An Enhanced Pedestrian Visual-Inertial SLAM System Aided with Vanishing Point in Indoor Environments
por: Wennan Chai, et al.
Publicado: (2021) -
Demo: Development of a Mobile Application Interacting with BLE Beacons
por: Vladimir Betelev, et al.
Publicado: (2021) -
Attitude Estimation Algorithm of Portable Mobile Robot Based on Complementary Filter
por: Mei Liu, et al.
Publicado: (2021)