2020
DOI: 10.1002/acs.3085
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Adaptive relative velocity estimation algorithm for autonomous mobile robots using the measurements on acceleration and relative distance

Abstract: Summary In this article, an adaptive algorithm is proposed for online velocity estimation of the autonomous mobile robots (AMRs) without positioning data received from a Global Positioning System (GPS) module or other means for odometry. Unlike the popular Kalman and particle filters that use the measurements on vectors of global (or local) position and acceleration of a mobile robot, the proposed adaptive relative velocity estimation (ARVE) algorithm requires the scalar value of measured distance to a beacon … Show more

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Cited by 5 publications
(2 citation statements)
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“…Assumption 1: It is assumed that the UAV's states x, v, and are available for control design [34]. Furthermore, it is assumed that the time derivative of f 1,i is bounded as ḟ1,i (•) ≤ a 1,i and f1,i (•) ≤ a 2,i for i ∈ {x, y, z}, where a 1,i and a 2,i are positive constants.…”
Section: Model Description and Technical Preliminariesmentioning
confidence: 99%
“…Assumption 1: It is assumed that the UAV's states x, v, and are available for control design [34]. Furthermore, it is assumed that the time derivative of f 1,i is bounded as ḟ1,i (•) ≤ a 1,i and f1,i (•) ≤ a 2,i for i ∈ {x, y, z}, where a 1,i and a 2,i are positive constants.…”
Section: Model Description and Technical Preliminariesmentioning
confidence: 99%
“…Video/image measurement methods are being developed because they have the potential to measure speed and identify vehicle numbers [12], [13]. Moreover, video/image speed measurements can be used for autonomous car control systems [14].…”
Section: Introductionmentioning
confidence: 99%