Cartographer local SLAM optimization using multistage distance scan scheduler
This paper presents the utilization of Google’s simultaneous localization and mapping (SLAM) called Cartographer, and improvement of the existing processing speed using multistage distance scheduler. The presented approach optimizes the Local SLAM part in Cartographer to correct local pose based fro...
Saved in:
Main Authors: | Dwijotomo, Abdurahman, Abdul Rahman, Mohd. Azizi, Mohammed Ariff, Mohd. Hatta, Zamzuri, Hairi |
---|---|
Format: | Conference or Workshop Item |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/89792/ http://dx.doi.org/10.1007/978-981-15-4481-1_20 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cartographer slam method for optimization with an adaptive multi-distance scan scheduler
by: Dwijotomo, A., et al.
Published: (2020) -
Hector SLAM 2D Mapping For Simultaneous Localization And Mapping (SLAM)
by: Saat, Shahrizal, et al.
Published: (2019) -
Simultaneous Localization and Mapping (SLAM) on NAO
by: LEE YUAN, HUANG
Published: (2012) -
Cartographic representation on small devices
by: Kamal Baharin, Safiza Suhana
Published: (2007) -
Computational cost analysis of extended Kalman filter in simultaneous localization and mapping (EKF-SLAM) problem for autonomous vehicle
by: Samsuri, Saiful Bahri, et al.
Published: (2015)