29 documents found, page 1 of 3
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...
GNSS simulation for automotive: introducing 3D scene-dependent multipath with C...
Pendão, Cristiano Gonçalves; Silva, Ivo Miguel Menezes; Botelho, Fabricio; Silva, Hélder David MalheiroRealistic Global Navigation Satellite System (GNSS) synthetic data is essential for the research and development of vehicular applications, such as Advanced Driver Assistance Systems (ADAS), autonomous driving, and solutions or scenarios that are difficult and expensive to test in the real world, such as vehicular cooperative positioning. However, generating GNSS synthetic data is complex due to satellite dynam...
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...
Realistic 3D simulators for automotive: a review of main applications and features
Silva, Ivo Miguel Menezes; Silva, Hélder David Malheiro; Botelho, Fabricio; Pendão, Cristiano GonçalvesRecent advancements in vehicle technology have stimulated innovation across the automotive sector, from Advanced Driver Assistance Systems (ADAS) to autonomous driving and motorsport applications. Modern vehicles, equipped with sensors for perception, localization, navigation, and actuators for autonomous driving, generate vast amounts of data used for training and evaluating autonomous systems. Real-world test...
A survey of simulation tools for cooperative positioning in autonomous vehicles
Silva, Ivo Miguel Menezes; Silva, Hélder David Malheiro; Botelho, Fabricio; Pendão, Cristiano GonçalvesAdvanced Driver Assistance Systems (ADAS) and autonomous driving require high positioning performance (high accuracy, reliability, and availability). These requirements are not always possible due to disruptions and limitations on Global Navigation Satellite System (GNSS) signals. Cooperative positioning approaches aim to mitigate the drawbacks of GNSS by exploring the collaboration of road participants enhanci...
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...
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...