Uav-Based Wireless Sensing for Human Detection and Localization in Nlos Scenarios

Project Details

Description

Due to the agility and mobility features, unmanned aerial vehicles (UAVs) have been applied for a broad range of industrial and military missions. Most existing UAV techniques focus on image-based sensing operating in line-of-sight (LOS) environments. However, in many scenarios a target user or operator may not have LOS to the UAV. Therefore, we plan a project to develop UAV-based wireless sensing techniques, which aim to achieve high-accuracy human sensing and localization. The objective of each year is to answer the essential questions listed as follows:1st year: How to detect human activity in surrounding areas by leveraging the existing wireless network infrastructure with a single UAV acting as a receiver;2nd year: How to achieve human counting in surrounding areas by using two UAVs acting as a transmitter/receiver pair;3rd year: How to localize the target user via coordinated UAV ad-hoc networks;Through this project, we will be able to develop an efficient and reliable collaborative aerial robot to achieve the vision of smart security. The practical research outcomes of this project can contribute to the area of UAV technologies and applications leading to industry innovation and social benefits.
StatusFinished
Effective start/end date1/08/2031/07/21

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production
  • SDG 17 - Partnerships for the Goals

Keywords

  • Unmanned Aerial Vehicles (UAVs)
  • Wireless Sensing
  • Internet of Things (IoT)
  • Machine Learning

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