Zaffar, Mubariz and Ehsan, Shoaib and Stolkin, Rustam and Maier, Klaus McDonald (2018) Sensors, SLAM and Long-term Autonomy: A Review. In: 2018 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), 2018-08-06 - 2018-08-09, Edinburgh, UK.
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Abstract
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.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Notes: 6 pages, 7 figures |
Uncontrolled Keywords: | SLAM; Long-term Autonomy; Sensors |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Elements |
Depositing User: | Elements |
Date Deposited: | 29 Apr 2020 20:59 |
Last Modified: | 15 Jan 2022 01:24 |
URI: | http://repository.essex.ac.uk/id/eprint/27398 |
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