Solid-State LiDAR based-SLAM: A Concise Review and Application

An efficient navigation system for the autonomous mobile robot demands the integration of the simultaneous localization and mapping system (SLAM). In general, the SLAM framework employs the camera, IMU, wheel encoder and can not lack the combination of the Light Detection and Ranging (LiDAR) sensors...

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Bibliographic Details
Published in:International Conference on Big Data and Smart Computing pp. 302 - 305
Main Authors: Nam, Dinh Van, Gon-Woo, Kim
Format: Conference Proceeding
Language:English
Published: IEEE 01.01.2021
Subjects:
Computer architecture
laser localization
Laser radar
Mechanical sensors
Mobile robots
Navigation
navigation system
Sensor phenomena and characterization
Simultaneous localization and mapping
SLAM
solid-ltate LiDAR
ISSN:2375-9356
Online Access:Get full text
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Summary:An efficient navigation system for the autonomous mobile robot demands the integration of the simultaneous localization and mapping system (SLAM). In general, the SLAM framework employs the camera, IMU, wheel encoder and can not lack the combination of the Light Detection and Ranging (LiDAR) sensors for superior accuracy for the navigation system. Nevertheless, the price of mechanical LiDAR is exceptionally high compared with other sensors, which is the primary reason to introduce a new generation of laser called Solid-State LiDAR (SSL). In this paper, we introduce a back-ground of SSL and several types of commercial SSL and also their characteristic. For developing SLAM framework, we discuss several successful SLAM architectures, which can be capable of integrating into a navigation system for the mobile robot. Last, we propose a low-cost SLAM framework using the visual-inertial-SSL, that can not only reduce the price of a mobile industrial robot but also provide excellent performance.
ISSN:2375-9356
DOI:10.1109/BigComp51126.2021.00064