2018 Conference on Signal Processing and Communication Engineering Systems (SPACES) 2018
DOI: 10.1109/spaces.2018.8316333
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A survey of methods for mobile robot localization and mapping in dynamic indoor environments

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Cited by 47 publications
(30 citation statements)
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“…Here, we focus only on rangebased methods. We refer to [47] for a comprehensive survey on various indoor localization techniques. This category of solutions computes distances based on how long sound takes to propagate between a sender and a receiver [20, 24, 25, 28-30, 32, 38-41].…”
Section: Related Workmentioning
confidence: 99%
“…Here, we focus only on rangebased methods. We refer to [47] for a comprehensive survey on various indoor localization techniques. This category of solutions computes distances based on how long sound takes to propagate between a sender and a receiver [20, 24, 25, 28-30, 32, 38-41].…”
Section: Related Workmentioning
confidence: 99%
“…Autonomous navigation considers a set of factors, such as path planning, localisation, and mapping [2]. Thus, these main problems need to be addressed to perform the robot mission.…”
Section: Problem Formulationmentioning
confidence: 99%
“…According to refs. [2,3], some problems must be solved to accomplish the robot's missions autonomously: path planning, location, and motion control. Path planning ensures a feasible trajectory that connects the starting point to a goal.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional approaches, such as A* [8], RRT [9], artificial potential fields [10], simultaneously localization and mapping (SLAM) [11], employ two steps to handle these motion control problems with unknown environments [12]: (i) Perceive and estimate the environment state; and (ii) model and optimize the control command. These approaches are often susceptible to unforeseen disturbances, any incomplete perception, biased estimate, or inaccurate model will lead to poor performances [13].…”
Section: Introductionmentioning
confidence: 99%