Sensors, SLAM and Long-term Autonomy: A Review

被引：0
|
作者：
Zaffar, Mubariz [1 ]
Ehsan, Shoaib [1 ]
Stolkin, Rustam [2 ]
Maier, Klaus McDonald [1 ]
机构：
[1] Univ Essex, Embedded & Intelligent Syst Lab, Colchester, Essex, England
[2] Univ Birmingham, Extreme Robot Lab, Birmingham, W Midlands, England
来源：
2018 NASA/ESA CONFERENCE ON ADAPTIVE HARDWARE AND SYSTEMS (AHS 2018) | 2018年
基金：
英国工程与自然科学研究理事会;
关键词：
SLAM; Long-term Autonomy; Sensors; LOCALIZATION; VISION; STEREO;
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Simultaneous Localization and Mapping, commonly known as SLAM, has been an active research area in the field of Robotics over the past three decades. For solving the SLAM problem, every robot is equipped with either a single sensor or a combination of similar/different sensors. This paper attempts to review, discuss, evaluate and compare these sensors. Keeping an eye on future, this paper also assesses the characteristics of these sensors against factors critical to the long- term autonomy challenge.
引用
收藏
页码：285 / 290
页数：6
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