51 documents found, page 1 of 6
ORDIP: principle, practice and guidelines for open research data in indoor posi...
Anagnostopoulos, Grigorios G.; Barsocchi, Paolo; Crivello, Antonino; Pendão, Cristiano Gonçalves; Silva, Ivo Miguel Menezes; Torres-Sospedra, JoaquínThe community of indoor positioning research has identified the need for a paradigm shift towards more reproducible and open research dissemination. Despite recent efforts to openly share data and code, accompanying research results with Open Research Data (ORD) is far from being the de facto standard option for publications in the indoor positioning field. The lack of recognized public benchmarks and the rathe...
Comprehensive assessment of open science practices in indoor positioning: open ...
Anagnostopoulos, Grigorios G.; Barsocchi, Paolo; Crivello, Antonino; Pendão, Cristiano Gonçalves; Silva, Ivo Miguel Menezes; Torres-Sospedra, JoaquínTransparency and verifiability have long been regarded as cornerstones of the scientific ethos and practice. However, persistent reproducibility challenges across numerous disciplines have brought renewed attention to the imperative for widespread adoption of Open Science practices. These considerations are particularly relevant to the research field of Indoor Positioning. Open Data and Open Code sharing are gr...
Offsite evaluation of localization systems: criteria, systems, and results from...
Potortì, Francesco; Crivello, Antonino; Lee, Soyeon; Vladimirov, Blagovest; Park, Sangjoon; Chen, Yushi; Wang, Long; Chen, Runze; Zhao, Fang; Zhuge, YueIndoor positioning is a thriving research area, which is slowly gaining market momentum. Its applications are mostly customized, ad hoc installations; ubiquitous applications analogous to Global Navigation Satellite System for outdoors are not available because of the lack of generic platforms, widely accepted standards and interoperability protocols. In this context, the indoor positioning and indoor navigatio...
Evaluating Open Science practices in indoor positioning and indoor navigation r...
Anagnostopoulos, Grigorios G.; Barsocchi, Paolo; Crivello, Antonino; Pendão, Cristiano Gonçalves; Silva, Ivo Miguel Menezes; Torres-Sospedra, JoaquínThe importance of reproducibility and transparency in scientific research has always been a cornerstone of the scientific Ethos. Recently, after identifying the challenges in terms of reproducibility in various research fields, the necessity of wide adoption of Open Science practices has become prominent. The field of Indoor Positioning and Indoor Navigation is no exception to these realizations. The current wo...
Enabling dynamic indoor localization by employing intersection over union as a ...
Klus, Lucie; Klus, Roman; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Silva, Ivo Miguel Menezes; Pendão, Cristiano Gonçalves; Valkama, MikkoIn modern wireless networks evolving towards 6th generation, localization, and sensing in indoor environments play an increasingly critical role in ensuring reliability, security, and control over network users, including vehicular assets. Despite recent advancements in deep learning, using k-Nearest Neighbors (k-NN) as a positioning algorithm in Received Signal Strength Indicator (RSSI) fingerprinting-based lo...
Hyperparameterless k-NN for Wi-Fi fingerprinting
Torres-Sospedra, Joaquín; Silva, Ivo Miguel Menezes; Pendão, Cristiano Gonçalves; Meneses, Filipe; Moreira, AdrianoFingerprint-based solutions mostly rely on variants of the k -NN algorithm. Despite the core operation of the model being quite simple, several implementation details can be exploited to enhance positioning accuracy. Recent works have been focusing on dynamically setting the value of k as, depending on the location, the algorithm may require different levels of reference data to provide a good position estimate...
Autoencoder extreme learning machine for fingerprint-based positioning: A good ...
Gaibor, Darwin P. Quezada; Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Nurmi, Jari; Valkama, Mikko; Huerta, Joaquín; Torres-Sospedra, JoaquínIndoor positioning based on machine-learning (ML) models has attracted widespread interest in the last few years, given its high performance and usability. Supervised, semisupervised, and unsupervised models have thus been widely used in this field, not only to estimate the user position, but also to compress, clean, and denoise fingerprinting datasets. Some scholars have focused on developing, improving, and o...
Temporal stability on human activity recognition based on Wi-Fi CSI
Matey-Sanz, Miguel; Torres-Sospedra, Joaquín; Moreira, AdrianoOver the last years, numerous studies have emerged using Wi-Fi channel state information, enabling device-free (passive) sensing for applications such as motion detection, indoor positioning or human activity recognition. More recently, the development framework for the low-cost ESP32 microcontrollers has added support for obtaining channel state information data. In this work, we collected channel state inform...
Industrial environment multi-sensor dataset for vehicle indoor tracking with wi...
Silva, Ivo Miguel Menezes; Pendão, Cristiano Gonçalves; Torres-Sospedra, Joaquín; Moreira, AdrianoThis paper describes a dataset collected in an industrial setting using a mobile unit resembling an industrial vehicle equipped with several sensors. Wi-Fi interfaces collect signals from available Access Points (APs), while motion sensors collect data regarding the mobile unit’s movement (orientation and displacement). The distinctive features of this dataset include synchronous data collection from multiple s...
Overcoming radio map degradation in Wi-Fi-based positioning systems
Silva, Ivo Miguel Menezes; Pendão, Cristiano Gonçalves; Torres-Sospedra, Joaquín; Moreira, AdrianoWi-Fi-based positioning systems, particularly the ones based on Wi-Fi fingerprinting, rely on a Radio Map (RM) which represents the radio environment at the time when it was collected. Over time, phenomena such as the propagation effects or adding/removing Access Points (APs) from an indoor environment may lead to significant variations in the radio environment, thus leading to errors in estimated positions. Al...