Intelligent Mobility Services (IMS)
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Project title
Intelligent Mobility Services (IMS)
Project description
Nowadays, huge amounts of data regarding pedestrian and vehicle mobility traces are available from Location-Based Services. This data is pivotal for enabling intelligent mobility services such as navigation, localization and mobility prediction. In this project, we focus on developing improved methods to achieve that. More specifically, the research has been divided into two distinct aspects: localization and mobility prediction. Regarding the localization aspect, different location-based services come with different positioning accuracy requirements. For outdoor applications (e.g. car navigation), most often, global navigation satellite systems (e.g. GPS) can inexpensively cover the needs. Yet, applications in indoor environments (e.g. COVID19 tracking indoors), where satellite signals are not available, are more challenging. Therefore, considering (i.e. fusing) many types of signal sources such as Bluetooth/Wi-Fi signals, magnetometer, accelerometer, gyroscope, etc. is critical for achieving accurate positioning indoors. In accordance with the above and within the frame of the research that has been conducted by the communication and distributed systems group, we propose a new methodology for enhancing the positioning accuracy in such systems by taking advantage of signals (e.g. Low Energy Bluetooth) that can be exchanged between different mobile devices (e.g. smartphones). With this new technique, instead of tracking individually each mobile device, we consider at the same time all exchanged signals, eventually positioning them as a system (or a swarm of devices).
Primary Conductor
Subject(s)
Dewey Decimal Classification::000 - Computer science, knowledge & systems
Dewey Decimal Classification::500 - Science
Dewey Decimal Classification::600 - Technology
Dewey Decimal Classification::600 - Technology::620 - Engineering
Dewey Decimal Classification::000 - Computer science, knowledge & systems::020 - Library & information sciences
Dewey Decimal Classification::500 - Science::510 - Mathematics
Dewey Decimal Classification::500 - Science
Dewey Decimal Classification::600 - Technology
Dewey Decimal Classification::600 - Technology::620 - Engineering
Dewey Decimal Classification::000 - Computer science, knowledge & systems::020 - Library & information sciences
Dewey Decimal Classification::500 - Science::510 - Mathematics
Keyword(s)
Cooperative Localization
Network Localization
Relative Positioning
Indoor Localization
Machine Learning
Mobility Prediction
Network Localization
Relative Positioning
Indoor Localization
Machine Learning
Mobility Prediction
Project Start Date
01-Sep-2019
Expected completion date
31-Oct-2023
Language(s)
en
Status
Active