Design and Implementation of Locations Matching Algorithm for Multi-Object Recognition and Localization

Rashid, Abdulmuttalib T.; Zayer, Wael Hussein; Rashid, Mofeed Turky

doi:10.33762/eeej.2018.144337

Cited by 8 publications

(2 citation statements)

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“…The system comprises two beacons with long-distance IR sensors to get the absolute locations estimations of objects. In this system, each object has different surface color and different reflectivity factor [24]. In another paper, the environment is provided with a distance infrared sensor to scan the robots and estimate the absolute locations and orientations of a number of team robots without knowing their IDs.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a centralized approach for multi-node localization

Hasan

Rashid

Ali

et al. 2022

IJECE

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<span>In this paper, a centralized approach for multi nodes localization is introduced. This approach is based on using a beacon fixed at the lower middle edge of the environment. This beacon is provided with a distance sensor and can scan the environment to measure the distance between the detecting node and the beacon. Also, remote control is fixed on the beacon to distinguish the identity of the detecting node. Two nodes are used in this approach, each node contains eight cells, and each cell has a 5 mm IR transmitter and TSOP4P38 IR receiver. If any one of the IR receivers has received the beacon ID, the transmitter which belongs to the same cell will respond by sending the node ID to the beacon. The beacon measurements and the information received from the detected nodes are then used to estimate the location and orientation of the visible nodes and the results will be saved in the main computer. Several experimental results have been tested with different distances from the nodes to the beacon. Also, different rotation angles at the beacon have been experienced to analyze the performance of the introduced approach.</span>

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Section: Introductionmentioning

confidence: 99%

Design and implementation of a centralized approach for multi-node localization

Hasan

Rashid

Ali

et al. 2022

IJECE

Self Cite

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“…The most famous localization technique is the global positioning system (GPS), but constraints such as its high cost, power consumption and large size make this method difficult to use regularly [4]. In addition, for indoor environments GPS cannot be used; this fact has attracted growing attention to proposing more algorithms that deal with the needs of indoor localization [1,5]. A Network of Wireless Sensors consists of multiple nodes of sensors divided separately to cooperatively monitor environmental circumstances and has different applications such as traffic monitoring, object tracking, navigation of ships, and measuring radiation levels from nuclear reactors, and monitoring volcanic eruptions [6].…”

Section: Introductionmentioning

confidence: 99%

Practical Implementation of an Indoor Robot Localization and Identification System using an Array of Anchor Nodes

AL-Forati

Rashid

2020

IJEEE

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This paper proposes a low-cost Light Emitting Diodes (LED) system with a novel arrangement that allows an indoor multi-robot localization. The proposed system uses only a matrix of low-cost LED installed uniformly on the ground of an environment and low-cost Light Dependent Resistor (LDR), each equipped on bottom of the robot for detection. The matrix of LEDs which are driven by a modified binary search algorithm are used as active beacons. The robot localizes itself based on the signals it receives from a group of neighbor LEDs. The minimum bounded circle algorithm is used to draw a virtual circle from the information collected from the neighbor LEDs and the center of this circle represents the robot’s location. The propose system is practically implemented on an environment with (16*16) matrix of LEDs. The experimental results show good performance in the localization process.

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Design and Implementation an Indoor Robot Localization System Using Minimum Bounded Circle Algorithm

AL-Forati

Rashid

2019

2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO)

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Design and Implementation of Locations Matching Algorithm for Multi-Object Recognition and Localization

Cited by 8 publications

References 0 publications

Design and implementation of a centralized approach for multi-node localization

Design and implementation of a centralized approach for multi-node localization

Practical Implementation of an Indoor Robot Localization and Identification System using an Array of Anchor Nodes

Design and Implementation an Indoor Robot Localization System Using Minimum Bounded Circle Algorithm

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