CRUAV
Cooperative Trajectory Planning for Real-Time Surveillance in UAV-assisted Intelligent Transportation Systems
| CMU-EXPL 2019 CMU/TIC/0022/2019 1 year (Jan 2021 to Dec 2021) | |
| Summary: | This project investigates cooperative Unmanned Aerial Vehicles (UAVs), a.k.a. drones, for real-time surveillance of intelligent transportation systems in smart cities. The UAVs are equipped with wireless transceivers for data communication and lightweight onboard processors. An onboard unit (OBU) that is installed on the ground vehicle receives sensing data from intra-vehicle sensors while offering ad-hoc communications with the UAV. A ground-breaking cooperative trajectory planning algorithm using onboard reinforcement learning is proposed for multiple UAVs to collect the sensory data from the OBUs and forward them to remote ground stations, leveraging existing cellular infrastructures, e.g., cellular radio tower, and 3G/4G network. The real-time and reliable data delivery achieved by the proposed algorithm enables a variety of innovative applications spanning both the commercial and official sectors: providing road users with the latest information on traffic and monitoring possible traffic violations, for example. The final outcome of the project will be systematically evaluated for real-time airborne surveillance, based on realistic abstractions of airborne wireless communication. Hence, the design of the cooperative UAV network provides a significant contribution to the advancement of Information and Communication Technology (ICT). The project contributes primarily to the science and research priority area in Carnegie Mellon Portugal Program: Electrical and Computer Engineering. The project aims to address critical challenges of real-time data delivery for the ground vehicles, through the advancement of the reinforcement learning theory and technology to develop cooperative trajectory planning of the UAVs. Significantly, the achievements of this project can enhance the research and development on future UAV-assisted wireless networks in Portugal, e.g., 5G and Internet of Things. |
| Funding: | Global: 57.7KEUR, CISTER: 39.3KEUR |
| Partners: | |
| Contact Person at CISTER: | Kai Li |
