Cartographer SLAM Method for Optimization with an Adaptive Multi-Distance Scan Scheduler

Cartographer SLAM Method for Optimization with an Adaptive Multi-Distance Scan Scheduler

This paper presents the use of Google’s simultaneous localization and mapping (SLAM) technique, namely Cartographer, and adaptive multistage distance scheduler (AMDS) to improve the processing speed. This approach optimizes the processing speed of SLAM which is known to have performance de...

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Bibliographic Details
Main Authors: Abdurahman Dwijotomo, Mohd Azizi Abdul Rahman, Mohd Hatta Mohammed Ariff, Hairi Zamzuri, Wan Muhd Hafeez Wan Azree
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
cartographer
simultaneous localization and mapping (slam)
lidar
scheduler
Online Access:https://www.mdpi.com/2076-3417/10/1/347

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