Realidade aumentada móvel aplicada na navegação indoor para cadeirantes

Physical deficiency is an obstacle to the afflicted individual, as they are deprived from realizing routine activities, without the help of others. For many, the use of wheelchairs is fundamental to providing mobility and social inclusion. However, these individuals still come up against a series of challenges in order to improve their life quality. Among the many difficulties, one in particular is highlighted: navigation in indoor environments buildings, such as localizing the shortest and best route for arriving at a desired destination. In the context of the Information Society, the use of pervasive computation and intelligent environments have application potential in supporting navigation assisted by mobile devices. In this scenario, it is noted that there exist a sparse quantity of applications capable of attending to the special needs of wheelchair users. Therefore, this study considers the hypothesis that other technologies, such as Mobile Augmented Reality (AR), possess the potential to facilitate the navigation of wheelchair users in indoor environments. In light of the above, the main motive behind this research study is to investigate computational techniques that support the use of indoor navigation based on Mobile AR, especially those which possess total control over their upper limbs. In order to achieve such, this work study proposes an architecture to support the development of these applications. Experiments were performed with wheelchair user volunteers. These interacted with an application via touch or voice commands in order to navigate within a test environment. This environment proposes the use of navigation arrows through use of AR. The features implemented onto the proposed architecture were capable of providing significant benefits for indoor navigation. Especially, when compared to traditional techniques.Tese (Doutorado)A deficiência física é um obstáculo aos portadores, uma vez que os mesmos são privados de realizar atividades rotineiras, sem auxílio de outros. Para muitos, o uso de cadeiras de rodas é fundamental para proporcionar mobilidade e inclusão social. No entanto, cadeirantes ainda enfrentam uma série de desafios para melhorar sua qualidade de vida. Entre as muitas dificuldades, uma em especial se destaca: a navegação em ambientes internos (indoor) de edificações, tais como a localização do menor e melhor caminho para chegar ao seu destino final. No contexto da Sociedade da Informação, o uso de computação pervasiva e de ambientes inteligentes tem potencial de aplicação no apoio à navegação suportada por dispositivos móveis. Neste cenário, observa-se parca quantidade de aplicações capazes de atender as necessidades especiais de cadeirantes. Portanto, este trabalho considera a hipótese de que outras tecnologias como a Realidade Aumentada (RA) Móvel, possui potencial para facilitar a navegação de cadeirantes em ambientes fechados. Diante disso, a motivação principal desta pesquisa é investigar técnicas computacionais que suportem o uso da navegação indoor de cadeirantes, baseada na RA Móvel, especialmente os que possuem total controle dos membros superiores. Para tanto, este trabalho propõe uma arquitetura para suportar o desenvolvimento destas aplicações. Experimentos foram realizados com voluntários cadeirantes. Estes interagiram com a aplicação por meio de comandos de toque ou de voz, para navegar dentro de um ambiente de teste. Este ambiente propõe o uso de setas de navegação com o uso de RA. As características implementadas na arquitetura proposta foram capazes de proporcionar benefícios significativos para navegação indoor de cadeirantes. Principalmente, quando comparado com técnicas tradicionais. Palavras-chave: realidade aumentada móvel, navegação indoor, cadeirantes

Augmented Reality in Smart Cities: A Multimedia Approach

Intro: This paper presents an advance overview of utilizing Augmented Reality (AR) in smart cities. Although, Smart cities contain six major aspects (mobility, economy, government, environment, living, and people), this paper focuses on three of them that have more potentiality in using virtual assistant (mobility, environment, and living). Methodology: Presenting a state-of-the-art review studies undertake between 2013 and 2017, which is driven from highlighted libraries is the aim of this research. After exact examine, 15 emphasized studies are chosen to divide the main aspects while 120 selective articles are supporting them. These categorizes have been critically compared with an aim, method and chronological perspectives. Results: First of All, Environmental issues (Museums industry) attract the most attention of researchers while the living issues (maintenance) have lower significant compare t latter and mobility (indoor-outdoor navigation) attract the least. Moreover, a close connection between academic and industry fields is going to be created. Conclusions: it has been concluded that, because of economic advantages, utilizing AR technology has improved in the tourism and maintenance. Moreover, until now, most of studies try to prove their concept rather than illustrate well stablished analytic approach. Because of hardware and software improvement, it is essential for the future studies to evaluate their hypothesis in a real urban context

Navigation, Path Planning, and Task Allocation Framework For Mobile Co-Robotic Service Applications in Indoor Building Environments

Recent advances in computing and robotics offer significant potential for improved autonomy in the operation and utilization of today’s buildings. Examples of such building environment functions that could be improved through automation include: a) building performance monitoring for real-time system control and long-term asset management; and b) assisted indoor navigation for improved accessibility and wayfinding. To enable such autonomy, algorithms related to task allocation, path planning, and navigation are required as fundamental technical capabilities. Existing algorithms in these domains have primarily been developed for outdoor environments. However, key technical challenges that prevent the adoption of such algorithms to indoor environments include: a) the inability of the widely adopted outdoor positioning method (Global Positioning System - GPS) to work indoors; and b) the incompleteness of graph networks formed based on indoor environments due to physical access constraints not encountered outdoors. The objective of this dissertation is to develop general and scalable task allocation, path planning, and navigation algorithms for indoor mobile co-robots that are immune to the aforementioned challenges. The primary contributions of this research are: a) route planning and task allocation algorithms for centrally-located mobile co-robots charged with spatiotemporal tasks in arbitrary built environments; b) path planning algorithms that take preferential and pragmatic constraints (e.g., wheelchair ramps) into consideration to determine optimal accessible paths in building environments; and c) navigation and drift correction algorithms for autonomous mobile robotic data collection in buildings. The developed methods and the resulting computational framework have been validated through several simulated experiments and physical deployments in real building environments. Specifically, a scenario analysis is conducted to compare the performance of existing outdoor methods with the developed approach for indoor multi-robotic task allocation and route planning. A simulated case study is performed along with a pilot experiment in an indoor built environment to test the efficiency of the path planning algorithm and the performance of the assisted navigation interface developed considering people with physical disabilities (i.e., wheelchair users) as building occupants and visitors. Furthermore, a case study is performed to demonstrate the informed retrofit decision-making process with the help of data collected by an intelligent multi-sensor fused robot that is subsequently used in an EnergyPlus simulation. The results demonstrate the feasibility of the proposed methods in a range of applications involving constraints on both the environment (e.g., path obstructions) and robot capabilities (e.g., maximum travel distance on a single charge). By focusing on the technical capabilities required for safe and efficient indoor robot operation, this dissertation contributes to the fundamental science that will make mobile co-robots ubiquitous in building environments in the near future.PHDCivil EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/143969/1/baddu_1.pd

Advanced Location-Based Technologies and Services

Since the publication of the first edition in 2004, advances in mobile devices, positioning sensors, WiFi fingerprinting, and wireless communications, among others, have paved the way for developing new and advanced location-based services (LBSs). This second edition provides up-to-date information on LBSs, including WiFi fingerprinting, mobile computing, geospatial clouds, geospatial data mining, location privacy, and location-based social networking. It also includes new chapters on application areas such as LBSs for public health, indoor navigation, and advertising. In addition, the chapter on remote sensing has been revised to address advancements