A State-of-the-Art Review on SLAM

被引：0
|
作者：
Zhou, Xuewei [1 ]
Huang, Ruining [1 ]
机构：
[1] Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R China
来源：
INTELLIGENT ROBOTICS AND APPLICATIONS (ICIRA 2022), PT III | 2022年 / 13457卷
基金：
中国国家自然科学基金;
关键词：
Simultaneous localization and mapping; Perception; Robots; Sensing; SIMULTANEOUS LOCALIZATION; ROBUST;
D O I：
10.1007/978-3-031-13835-5_22
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
SLAM (Simultaneous Localization and Mapping), also known as CML (Concurrent Mapping and Localization), refers to realtime positioning and map building, or concurrent mapping and positioning. After nearly 30 years of research on SLAM, there have been quite a few breakthroughs in the SLAM community. This paper aims to provide an insightful review of information background, recent development, feature, implementation, and recent issue in SLAM. This paper includes the following parts: First of all, it gives an overview of the basic development of SLAM from its introduction to the present. Then, and most importantly, it summarizes the mainstream SLAM technology and theoretical basis. In addition, some cutting-edge and novel SLAM research results are discussed respectively. Finally, this paper summarizes and introduces some practical applications of SLAM technology.
引用
收藏
页码：240 / 251
页数：12
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