Visual positioning system for automated indoor/outdoor navigation

Anup, S; Goel, Abhinav; Padmanabhan, Suresh

doi:10.1109/tencon.2017.8228008

Cited by 16 publications

(8 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This newer version makes use of the Visual Positioning System (VPS), which differs itself, from the Global Positioning System (GPS). Visual Positioning System uses Artificial Intelligence technology that gives the live view of the real world & visual landmarks in front of travelers (Anup et al , 2017).…”

Section: Artificial Intelligence In Tourismmentioning

confidence: 99%

“…AI technology used in vehicles these days uses GPS to provide information about road accidents, traffic jams & plans the shortest or alternate route that can escape the traffic jam. The newer version VPS would even provide the details about the nearby shops, companies, hotels, malls, cinema theatres, restaurants, canteens, recreational zones, etc., thereby providing the Location-based experiences (Anup et al , 2017; Xiao et al , 2018). Thus, the AI technology used in the Google Maps provides the information on the Tourist Infrastructure which includes nearby Hotel & accommodation facilities, restaurants, bars, discotheques etc.…”

Section: Artificial Intelligence Affecting Travel Tourism and Hospita...mentioning

confidence: 99%

See 1 more Smart Citation

Impact of AI and robotics in the tourism sector: a critical insight

Nagaraj

Katkam

Bellamkonda

et al. 2020

JTF

170

View full text Add to dashboard Cite

Purpose The purpose of the present article is to highlight the role of Artificial Intelligence (AI) and Robotics in the tourism industry. The various technologies being integrated to improve the service and customer experience in tourism. The expected changes and challenges in tourism in the future are focused in this paper. Design/methodology/approach A systematic study on the emerging technologies of AI and Robotics applied in the tourism sector is presented in the form of a viewpoint. Findings AI certainly enhances tourism experiential services however cannot surpass the human touch which is an essential determinant of experiential tourism. AI acts as an effective complementary dimension to the future of tourism. With the emergence of artificial travel intelligence, it is simpler to make travel arrangements. AI offers travel services that are automated, customized and insightful. AI allows travelers to learn about their behaviors, interests to inclinations and provide a personalized experience. Gone are the days to consult a travel agent, meet him physically and indulge in an endless chain of troubling phone calls to inquire about travel arrangements. Practical implications Tourism marketing to see a positive and improved change that will enhance the tourists’ overall experience due to the application of AI and Robotics. New emerging technologies like chatbots, virtual reality, language translators, etc. can be effectively applied in Travel, Tourism & Hospitality industry. Originality/value The present viewpoint discusses the application and role of AI and Robotics with the help of relevant industry examples and theory. The present paper highlights the different technologies being used and will be used in the future.

show abstract

Section: Artificial Intelligence In Tourismmentioning

confidence: 99%

Section: Artificial Intelligence Affecting Travel Tourism and Hospita...mentioning

confidence: 99%

Impact of AI and robotics in the tourism sector: a critical insight

Nagaraj

Katkam

Bellamkonda

et al. 2020

JTF

170

View full text Add to dashboard Cite

show abstract

“…Passive markers are being used to provide an optimized route that goes through several points of interest. The current location can be obtained through passive markers that are strategically placed near points of interests which have been previously mapped to a Spatial Map Graph, using machine learning [ 114 ]. Passive markers, in an outdoor environment, might be represented through QR codes that are placed in places such as lamp posts or trees.…”

Section: Smart Mobility Services and Applicationsmentioning

confidence: 99%

Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges

Paiva

Ahad

Tripathi

et al. 2021

Sensors

184

View full text Add to dashboard Cite

The increasing population across the globe makes it essential to link smart and sustainable city planning with the logistics of transporting people and goods, which will significantly contribute to how societies will face mobility in the coming years. The concept of smart mobility emerged with the popularity of smart cities and is aligned with the sustainable development goals defined by the United Nations. A reduction in traffic congestion and new route optimizations with reduced ecological footprint are some of the essential factors of smart mobility; however, other aspects must also be taken into account, such as the promotion of active mobility and inclusive mobility, encouraging the use of other types of environmentally friendly fuels and engagement with citizens. The Internet of Things (IoT), Artificial Intelligence (AI), Blockchain and Big Data technology will serve as the main entry points and fundamental pillars to promote the rise of new innovative solutions that will change the current paradigm for cities and their citizens. Mobility-as-a-service, traffic flow optimization, the optimization of logistics and autonomous vehicles are some of the services and applications that will encompass several changes in the coming years with the transition of existing cities into smart cities. This paper provides an extensive review of the current trends and solutions presented in the scope of smart mobility and enabling technologies that support it. An overview of how smart mobility fits into smart cities is provided by characterizing its main attributes and the key benefits of using smart mobility in a smart city ecosystem. Further, this paper highlights other various opportunities and challenges related to smart mobility. Lastly, the major services and applications that are expected to arise in the coming years within smart mobility are explored with the prospective future trends and scope.

show abstract

“…Indoor positioning systems (IPSs) that use computer vision use the information collected by cameras and a set of image processing techniques to identify, track, and navigate people in indoor environments [ 108 , 109 ]. Initially, we identified two classes of IPSs based on computer vision: fixed cameras, arranged in the infrastructure, and mobile cameras, available in wearable devices, smartphones, etc.…”

Section: Indoor Positioning Systemsmentioning

confidence: 99%

A Review of Technologies and Techniques for Indoor Navigation Systems for the Visually Impaired

Simões

Machado

Sales

et al. 2020

Sensors

View full text Add to dashboard Cite

Technologies and techniques of location and navigation are advancing, allowing greater precision in locating people in complex and challenging conditions. These advances have attracted growing interest from the scientific community in using indoor positioning systems (IPSs) with a higher degree of precision and fast delivery time, for groups of people such as the visually impaired, to some extent improving their quality of life. Much research brings together various works that deal with the physical and logical approaches of IPSs to give the reader a more general view of the models. These surveys, however, need to be continuously revisited to update the literature on the features described. This paper presents an expansion of the range of technologies and methodologies for assisting the visually impaired in previous works, providing readers and researchers with a more recent version of what was done and the advantages and disadvantages of each approach to guide reviews and discussions about these topics. Finally, we discuss a series of considerations and future trends for the construction of indoor navigation and location systems for the visually impaired.

show abstract

Visual positioning system for automated indoor/outdoor navigation

Cited by 16 publications

References 19 publications

Impact of AI and robotics in the tourism sector: a critical insight

Impact of AI and robotics in the tourism sector: a critical insight

Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges

A Review of Technologies and Techniques for Indoor Navigation Systems for the Visually Impaired

Contact Info

Product

Resources

About