@inproceedings{f22b454874c54a41a1cc832f1b8c973e,
title = "Path Planning in Support of Smart Mobility Applications Using Generative Adversarial Networks",
abstract = "This paper describes and evaluates the use of Generative Adversarial Networks (GANs) for path planning in support of smart mobility applications such as indoor and outdoor navigation applications, individualized wayfinding for people with disabilities (e.g., vision impairments, physical disabilities, etc.), path planning for evacuations, robotic navigations, and path planning for autonomous vehicles. We propose an architecture based on GANs to recommend accurate and reliable paths for navigation applications. The proposed system can use crowd-sourced data to learn the trajectories and infer new ones. The system provides users with generated paths that help them navigate from their local environment to reach a desired location. As a use case, we experimented with the proposed method in support of a wayfinding application in an indoor environment. Our experiments assert that the generated paths are correct and reliable. The accuracy of the classification task for the generated paths is up to 99% and the quality of the generated paths has a mean opinion score of 89%.",
keywords = "GAN, Internet of Things, Path planning, generative adversarial network, intelligent transportation systems, smart cities, smart mobility, wayfinding",
author = "Mehdi Mohammadi and Ala Al-Fuqaha and Oh, {Jun Seok}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018 ; Conference date: 30-07-2018 Through 03-08-2018",
year = "2018",
month = jul,
doi = "10.1109/Cybermatics_2018.2018.00168",
language = "English",
series = "Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "878--885",
booktitle = "Proceedings - IEEE 2018 International Congress on Cybermatics",
address = "United States",
}