3,081 research outputs found

    Evaluating indoor positioning systems in a shopping mall : the lessons learned from the IPIN 2018 competition

    Get PDF
    The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future

    A Survey of Positioning Systems Using Visible LED Lights

    Get PDF
    © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.As Global Positioning System (GPS) cannot provide satisfying performance in indoor environments, indoor positioning technology, which utilizes indoor wireless signals instead of GPS signals, has grown rapidly in recent years. Meanwhile, visible light communication (VLC) using light devices such as light emitting diodes (LEDs) has been deemed to be a promising candidate in the heterogeneous wireless networks that may collaborate with radio frequencies (RF) wireless networks. In particular, light-fidelity has a great potential for deployment in future indoor environments because of its high throughput and security advantages. This paper provides a comprehensive study of a novel positioning technology based on visible white LED lights, which has attracted much attention from both academia and industry. The essential characteristics and principles of this system are deeply discussed, and relevant positioning algorithms and designs are classified and elaborated. This paper undertakes a thorough investigation into current LED-based indoor positioning systems and compares their performance through many aspects, such as test environment, accuracy, and cost. It presents indoor hybrid positioning systems among VLC and other systems (e.g., inertial sensors and RF systems). We also review and classify outdoor VLC positioning applications for the first time. Finally, this paper surveys major advances as well as open issues, challenges, and future research directions in VLC positioning systems.Peer reviewe

    Satellite Navigation for the Age of Autonomy

    Full text link
    Global Navigation Satellite Systems (GNSS) brought navigation to the masses. Coupled with smartphones, the blue dot in the palm of our hands has forever changed the way we interact with the world. Looking forward, cyber-physical systems such as self-driving cars and aerial mobility are pushing the limits of what localization technologies including GNSS can provide. This autonomous revolution requires a solution that supports safety-critical operation, centimeter positioning, and cyber-security for millions of users. To meet these demands, we propose a navigation service from Low Earth Orbiting (LEO) satellites which deliver precision in-part through faster motion, higher power signals for added robustness to interference, constellation autonomous integrity monitoring for integrity, and encryption / authentication for resistance to spoofing attacks. This paradigm is enabled by the 'New Space' movement, where highly capable satellites and components are now built on assembly lines and launch costs have decreased by more than tenfold. Such a ubiquitous positioning service enables a consistent and secure standard where trustworthy information can be validated and shared, extending the electronic horizon from sensor line of sight to an entire city. This enables the situational awareness needed for true safe operation to support autonomy at scale.Comment: 11 pages, 8 figures, 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS

    Fireground location understanding by semantic linking of visual objects and building information models

    Get PDF
    This paper presents an outline for improved localization and situational awareness in fire emergency situations based on semantic technology and computer vision techniques. The novelty of our methodology lies in the semantic linking of video object recognition results from visual and thermal cameras with Building Information Models (BIM). The current limitations and possibilities of certain building information streams in the context of fire safety or fire incident management are addressed in this paper. Furthermore, our data management tools match higher-level semantic metadata descriptors of BIM and deep-learning based visual object recognition and classification networks. Based on these matches, estimations can be generated of camera, objects and event positions in the BIM model, transforming it from a static source of information into a rich, dynamic data provider. Previous work has already investigated the possibilities to link BIM and low-cost point sensors for fireground understanding, but these approaches did not take into account the benefits of video analysis and recent developments in semantics and feature learning research. Finally, the strengths of the proposed approach compared to the state-of-the-art is its (semi -)automatic workflow, generic and modular setup and multi-modal strategy, which allows to automatically create situational awareness, to improve localization and to facilitate the overall fire understanding

    Indoor pedestrian dead reckoning calibration by visual tracking and map information

    Get PDF
    Currently, Pedestrian Dead Reckoning (PDR) systems are becoming more attractive in market of indoor positioning. This is mainly due to the development of cheap and light Micro Electro-Mechanical Systems (MEMS) on smartphones and less requirement of additional infrastructures in indoor areas. However, it still faces the problem of drift accumulation and needs the support from external positioning systems. Vision-aided inertial navigation, as one possible solution to that problem, has become very popular in indoor localization with satisfied performance than individual PDR system. In the literature however, previous studies use fixed platform and the visual tracking uses feature-extraction-based methods. This paper instead contributes a distributed implementation of positioning system and uses deep learning for visual tracking. Meanwhile, as both inertial navigation and optical system can only provide relative positioning information, this paper contributes a method to integrate digital map with real geographical coordinates to supply absolute location. This hybrid system has been tested on two common operation systems of smartphones as iOS and Android, based on corresponded data collection apps respectively, in order to test the robustness of method. It also uses two different ways for calibration, by time synchronization of positions and heading calibration based on time steps. According to the results, localization information collected from both operation systems has been significantly improved after integrating with visual tracking data

    Možnost navigace osob v komplexech neznámých budov

    Get PDF
    This paper focuses on the problems of navigation in a vast building with the possibility of detection of a subsequent movement in different parts of the object. It describes the design of documents used for 2D and 3D navigation of courier from point A (store) to point B (in a large office building). The article also describes a design of an algorithm for navigation of persons in the building and steps leading to the design of a navigation system for vast buildings. The application is developed within the project of the University Science Park and is designed for navigation at the University of Žilina.Tento príspevok sa zaoberá problematikou navigácie v rozľahlých budovách kritickej infraštruktúry s možnou detekciou jej následného pohybu v jednotlivých častiach objektov. Opisuje tvorbu podkladov pre 2D a 3D podklady slúžiace pre navigáciu kuriéra z bodu A (sklad) do bodu B (kancelária v rozľahlej budove). V článku je ďalej opísaný navrhnutý algoritmus určený na navigáciu vstupujúcej osoby a kroky ktoré viedli k návrhu systému navigácie pre rozľahlé budovy. Vytvorená aplikácia vyvíjaná v rámci projektu Univerzitný vedecký park je navrhnutá pre potreby navigácie v priestoroch Žilinskej univerzity

    Sistem Navigasi Indoor Menggunakan Bi-Directional Dijkstra Search Berbasis Integrasi dengan Smartphone untuk Studi Kasus pada Gedung Bertingkat

    Full text link
    Saat ini kebutuhan masyarakat akan informasi lokasi sangat tinggi, terutama dengan memanfaatkan teknologi teknologi Global Positioning System (GPS). GPS merupakan salah satu teknologi yang bisa digunakan untuk melakukan navigasi diluar ruangan, namun ketika berada di dalam ruangan atau bangunan sistem ini memiliki akurasi yang rendah, apalagi untuk ruangan/gedung yang besar. Oleh karena itu, sebuah sistem yang lebih akurat untuk memberikan solusi bagi pendeteksian lokasi di dalam ruangan atau gedung yang memiliki lebih dari satu level lantai dikembangkan dengan konsep 3D Indoor Navigation System. Sistem yang dibangun dapat menunjukan posisi pengguna dengan menggunakan Indoor Localization System dengan memanfaatkan Received Signal Strength (RSS) dan rute navigasi dalam tampilan peta 3D menggunakan Bi-Directional Algorithm untuk melakukan pencarian rute terdekat antar dua tempat. Untuk mengembangkan tampilan peta 3D digunakan Unity3D. Hasil pengujian sistem menunjukan bahwa sistem ini dapat menampilkan lokasi pengguna dan rute perjalanan pada peta 3D serta pengguna bisa melakukan navigasi pada peta tersebut. Dapat ditarik kesimpulan bahwa sistem ini dapat lebih membantu pengguna dalam menemukan tempat yang ingin dituju pada studi kasus gedung Teknik Informatika ITS
    corecore