Can GPS be used for Location Based Services at Schiphol Airport, the Netherlands?

Odijk, Dennis; Kleijer, F.

doi:10.1109/wpnc.2008.4510368

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…Indoor navigation: Many recently published papers study indoor navigation in airport terminals [41], indoor navigation for passengers with reduced mobility [39], for transit passengers [43], and location-based services at airports [42]. An overview of the development of this technology can be traced through earlier review papers [40].…”

Section: Passenger Handlingmentioning

confidence: 99%

Digital technologies in airport ground operations

Kovynyov¹,

Mikut

2019

Netnomics

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How has digital transformation changed airport ground operations? Although the relevant peer-reviewed literature emphasizes the role of cost savings as a key driver behind digitalization of airport ground operations, the focus is on data-driven, customer-centric innovations. This paper argues that ground handling agents are deploying new technologies mainly to boost process efficiency and to cut costs. Our research shows that ground handling agents are embracing current trends to craft new business models and develop new revenue streams. In this paper, we examine the ground handling agent's value chain and identify areas that are strongly affected by digital transformation and those that are not. We discuss different business scenarios for digital technology and link them with relevant research, such as automated service data capturing, new digital services for passengers, big data, indoor navigation, and wearables in airport ground operations. We assess the maturity level of discussed technologies using NASA technology readiness levels.

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Section: Passenger Handlingmentioning

confidence: 99%

Digital technologies in airport ground operations

Kovynyov¹,

Mikut

2019

Netnomics

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“…However, this information may not always be readily available for many cellular devices. Also, location sensors usually has low accuracy and can result in incorrect outputs [8]. Hence, we aim to intentionally eliminate the availability of location information from the set of input features and design the proposed DNN based BS and beam selection framework for a heterogeneous mmW network.…”

Section: Introductionmentioning

confidence: 99%

DNN Based Beam Selection in mmW Heterogeneous Networks

Jagyasi¹,

Coupechoux²

2021

Preprint

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We consider a heterogeneous cellular network wherein multiple small cell millimeter wave (mmW) base stations (BSs) coexist with legacy sub-6GHz macro BSs. In the mmW band, small cells use multiple narrow beams to ensure sufficient coverage and User Equipments (UEs) have to select the best small cell and the best beam in order to access the network. This process usually based on exhaustive search may introduce unacceptable latency. In order to address this issue, we rely on the sub-6GHz macro BS support and propose a deep neural network (DNN) architecture that utilizes basic components from the Channel State Information (CSI) of sub-6GHz network as input features. The output of the DNN is the mmW BS and beam selection that can provide the best communication performance. In the set of features, we avoid using the UE location, which may not be readily available for every device. We formulate a mmW BS selection and beam selection problem as a classification and regression problem respectively and propose a joint solution using a branched neural network. The numerical comparison with the conventional exhaustive search results shows that the proposed design demonstrate better performance than exhaustive search in terms of latency with at least 85% accuracy.

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“…Although High Sensitivity GPS (HSGPS) receivers can be used to detect weak signals, often the signal is not reliable enough to produce an accurate position solution. An example was demonstrated (Odijk and Kleijer, 2007, 2008) where the use of HSGPS produced corrupted solutions in an indoor environment due to weak and reflected signals.…”

Section: Introductionmentioning

confidence: 99%

Using Constraints for Shoe Mounted Indoor Pedestrian Navigation

et al. 2011

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Shoe mounted Inertial Measurement Units (IMU) are often used for indoor pedestrian navigation systems. The presence of a zero velocity condition during the stance phase enables Zero Velocity Updates (ZUPT) to be applied regularly every time the user takes a step. Most of the velocity and attitude errors can be estimated using ZUPTs. However, good heading estimation for such a system remains a challenge. This is due to the poor observability of heading error for a low cost Micro-Electro-Mechanical (MEMS) IMU, even with the use of ZUPTs in a Kalman filter. In this paper, the same approach is adopted where a MEMS IMU is mounted on a shoe, but with additional constraints applied. The three constraints proposed herein are used to generate measurement updates for a Kalman filter, known as ‘Heading Update’, ‘Zero Integrated Heading Rate Update’ and ‘Height Update’.The first constraint involves restricting heading drift in a typical building where the user is walking. Due to the fact that typical buildings are rectangular in shape, an assumption is made that most walking in this environment is constrained to only follow one of the four main headings of the building. A second constraint is further used to restrict heading drift during a non-walking situation. This is carried out because the first constraint cannot be applied when the user is stationary. Finally, the third constraint is applied to limit the error growth in height. An assumption is made that the height changes in indoor buildings are only caused when the user walks up and down a staircase. Several trials were shown to demonstrate the effectiveness of integrating these constraints for indoor pedestrian navigation. The results show that an average return position error of 4·62 meters is obtained for an average distance of 1557 meters using only a low cost MEMS IMU.

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Can GPS be used for Location Based Services at Schiphol Airport, the Netherlands?

Cited by 6 publications

References 1 publication

Digital technologies in airport ground operations

Digital technologies in airport ground operations

DNN Based Beam Selection in mmW Heterogeneous Networks

Using Constraints for Shoe Mounted Indoor Pedestrian Navigation

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