Indoor Positioning Technology Selection Using a Combined AHP and PROMETHEE Method at SEDEF Shipyard

Çil, İbrahim; Özsoy, Fahri; Ozgurbuz, Ekrem; Cil, Ahmet Yunus; Kılınç, Hilal

doi:10.4274/jems.2022.47550

Cited by 7 publications

(2 citation statements)

References 44 publications

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“…GPS's vulnerability has reduced confidence in the system, forcing the creation of countermeasures. At the same time, there is a growing demand for high-precision navigation solutions that work independently of GPS [82,84]. These solutions should be capable of starting in a GPS-free area and operating under challenging conditions.…”

Section: A Gps-free Positioning and Navigation Servicesmentioning

confidence: 99%

Exploring Quantum Sensing Potential for Systems Applications

et al. 2023

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The current rise of quantum technology is compelled by quantum sensing research. Thousands of research labs are developing and testing a broad range of sensor prototypes. However, there is a lack of knowledge about specific applications and real-world use cases where the benefits of these sensors will be most pronounced. This study presents a comprehensive review of quantum sensing state-of-practice. It also provides a detailed analysis of how quantum sensing overcomes the existing limitations of sensordriven systems' precision and performance. Based on the review of over 500 quantum sensor prototype reports, we determined four groups of quantum sensors and discussed their readiness for commercial usage. We concluded that quantum magnetometry and quantum optics are the most advanced sensing technologies with empirically proven results. In turn, quantum timing and kinetics are still in the early stages of practical validation. In addition, we defined four systems domains in which quantum sensors offer a solution for existing limitations of conventional sensing technologies. These domains are 1) GPS-free positioning and navigating services, 2) time-based operations, 3) topological visibility, and 4) environment detection, prediction, and modeling. Finally, we discussed the current constraints of quantum sensing technologies and offered directions for future research.

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Section: A Gps-free Positioning and Navigation Servicesmentioning

confidence: 99%

Exploring Quantum Sensing Potential for Systems Applications

et al. 2023

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“…In the present study, an image processing and a deep-learning-based indoor positioning system are proposed to solve the real-time route tracking and collision problems of autonomous vehicles used in indoor production environments [9,10]. In the proposed system, a floor path model consisting of markers was developed for the ground.…”

Section: Introductionmentioning

confidence: 99%

Deep-Learning-Based Floor Path Model for Route Tracking of Autonomous Vehicles

Erginli

Cil²

2022

Systems

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Real-time route tracking is an important research topic for autonomous vehicles used in industrial facilities. Traditional methods such as copper line tracking on the ground, wireless guidance systems, and laser systems are still used in route tracking. In this study, a deep-learning-based floor path model for route tracking of autonomous vehicles is proposed. A deep-learning floor path model and algorithm have been developed for highly accurate route tracking, which avoids collisions of vehicles and follows the shortest route to reach the destination. The floor path model consists of markers. Routes in the floor path model are created by using these markers. The floor path model is transmitted to autonomous vehicles as a vector by a central server. The server dispatches the target marker address to the vehicle to move. The vehicle calculates all possible routes to this address and chooses the shortest one. Marker images on the selected route are processed using image processing and classified with a pre-trained deep-CNN model. If the classified image and the image on the selected route are the same, the vehicle proceeds toward its destination. While the vehicle moves on the route, it sends the last classified marker to the server. Other autonomous vehicles use this marker to determine the location of this vehicle. Other vehicles on the route wait to avoid a collision. As a result of the experimental studies we have carried out, the route tracking of the vehicles has been successfully achieved.

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The Improvement and Comparison Study of Distance Metrics for Machine Learning Algorithms for Indoor Wi-Fi Localization

Wang

2023

IEEE Access

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Indoor Positioning Technology Selection Using a Combined AHP and PROMETHEE Method at SEDEF Shipyard

Cited by 7 publications

References 44 publications

Exploring Quantum Sensing Potential for Systems Applications

Exploring Quantum Sensing Potential for Systems Applications

Deep-Learning-Based Floor Path Model for Route Tracking of Autonomous Vehicles

The Improvement and Comparison Study of Distance Metrics for Machine Learning Algorithms for Indoor Wi-Fi Localization

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