Accurate 3D Lighthouse Localization of a Low-Power Crystal-Free Single-Chip Mote

Kilberg, Brian; Campos, Felipe; Maksimovic, Filip; Watteyne, Thomas; Pister, Kristofer S. J.

doi:10.1109/jmems.2020.3011460

Cited by 8 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kilberg et al [75] present a lighthouse-based localization system for localizing a crystal-free single-chip micro mote, called SCuM. Lighthouse localization insures that the form factor of the SCuM chip is not changing by using its optical receiver not only for programming but also for receiving IR pulses from a lighthouse base station.…”

Section: A Light Based Localizationmentioning

confidence: 99%

Constrained Localization: A Survey

Savić¹,

Vilajosana

Watteyne³

2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

Indoor localization techniques have been extensively studied in the last decade. The well-established technologies enable the development of Real-Time Location Systems (RTLS). A good body of publications emerged, with several survey papers that provide a deep analysis of the research advances. Existing survey papers focus on either a specific technique and technology or on a general overview of indoor localization research. However, there is a need for a use case-driven survey on both recent academic research and commercial trends, as well as a hands-on evaluation of commercial solutions. This work aims at helping researchers select the appropriate technology and technique suitable for developing low-cost, low-power localization system, capable of providing centimeter level accuracy. The article is both a survey on recent academic research and a hands-on evaluation of commercial solutions. We introduce a specific use case as a guiding application throughout this article: localizing low-cost low-power miniature wireless swarm robots. We define a taxonomy and classify academic research according to five criteria: Line of Sight (LoS) requirement, accuracy, update rate, battery life, cost. We discuss localization fundamentals, the different technologies and techniques, as well as recent commercial developments and trends. Besides the traditional taxonomy and survey, this article also presents a hands-on evaluation of popular commercial localization solutions based on Bluetooth Angle of Arrival (AoA) and Ultra-Wideband (UWB). We conclude this article by discussing the five most important open research challenges: lightweight filtering algorithms, zero infrastructure dependency, low-power operation, security, and standardization.

show abstract

Section: A Light Based Localizationmentioning

confidence: 99%

Constrained Localization: A Survey

Savić¹,

Vilajosana

Watteyne³

2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…The main simulation objects include environment, skills, sensing equipment, and perception, thereby providing users with multi-information, 3D dynamic, and interactive simulation experience. So far, VR has been combined with IoT technology ( Elbamby et al, 2018 ; Thies et al, 2018 ; Kilberg et al, 2020 ).…”

Section: Postproduction Of the Sand Table Game And Its Therapeutic Ef...mentioning

confidence: 99%

Impact of Virtual Imaging Technology on Film and Television Production Education of College Students Based on Deep Learning and Internet of Things

Yu²,

Wang

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

More and more schools begin to design simulation technology based on virtual imaging technology (VIT) and virtual reality (VR) in their course contents. In particular, among these technical courses, there is a need to first strengthen the Film and Television Production (FTP) education in higher institutions. This article aims to study the impact of VRT, VR, and Internet of things (IoT) technology on FTP courses and audience psychology in higher institutions under the era of intelligent multimedia. How to use emerging VR technology to promote the psychological wellbeing of students or patients has become a new research direction, the exploration of which has a far-reaching significance for the applications of the related technologies. First, the principle and applications of VR and IoT technology are described. Thereon, the deep learning (DL)-based training model is used to analyze the postproduction (PP) of VR-based Sand Table game, and the function and effect of the designed game model are discussed. Subsequently, VR-based Sand Play Therapy (SPT) is applied to mentally ill patients to obtain its therapeutic effect. The results show that the designed VR-based Sand Table game model can be used to treat mentally ill patients and alleviate their negative psychological states. Meanwhile, the Test Anxiety Scale (TAS) scores prove the significant therapeutic effect of the designed game model on the mental problems of patients. Therefore, VR-based psychological SPT can be applied in the stress relief of students and the treatment of mentally ill patients, as well as alleviate their mental health problems. This research provides a new direction and some theoretical support for the application field of VR technology.

show abstract