A review: Simultaneous localization and mapping algorithms
Simultaneous Localization and Mapping (SLAM) involves creating an environmental map based on sensor data, while concurrently keeping track of the robot’s current position. Efficient and accurate SLAM is crucial for any mobile robot to perform robust navigation. It is also the keystone for higher-lev...
Saved in:
Main Authors: | Hadji, Saif Eddine, Kazi, Suhail, Tang, Howe Hing, Mohamed Ali, Mohamed Sultan |
---|---|
Format: | Article |
Published: |
Penerbit UTM Press
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/57655/ http://dx.doi.org/10.11113/jt.v73.4188 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
2D feature extraction in sensor coordinates for laser range finder
by: Hadji, Saif Eddine, et al.
Published: (2015) -
Implementation of motion planning and active force control to a virtual wheeled mobile robot
by: Tang, Howe Hing
Published: (2004) -
Implementation of motion planning and active force control to a virtual wheeled mobile robot
by: Tang , Howe Hing
Published: (2004) -
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) -
Algorithm to detect roundabout environments for mobile robot based on laser range finder and camera
by: Ali, Mohammad Abdo Hashem, et al.
Published: (2014)