Abstract: Efficient road traffic monitoring is playing a fundamental role in successfully resolving traffic congestion in cities.Unmanned Aerial Vehicles (UAVs) or drones equipped with cameras are an attractive proposition to provide flexible and infrastructure-free traffic monitoring. However, real-time traffic monitoring from UAV imagery poses several challenges,…
Abstract: Recent advances in mobile computing and embedded systems have had a transformative impact in the field of Unmanned Aircraft Systems (UASs). These advances have unlocked a great number of new capabilities ranging from realtime machine learning for detection and tracking of targets, and autonomous intelligent…
Abstract: Current navigation technologies are relying on global navigation satellite system (GNSS) information. As in terms of reliability and precision next-generation autonomous vehicle requirements cannot be fully satisfied by GNSS, a sensor information fusion must be employed, leading to the exploration of new positioning methods. In…
Abstract: Power transmission and distribution networks mostly span across harsh environments and thus, frequent faults and failures are observed, increasing the maintenance costs, pressing the authorities to provide electricity continuously and uninterruptedly. To this end, thorough field inspections with skilled personnel are regularly conducted, which are…
Abstract: The global navigation satellite system (GNSS) is primarily employed for positioning by most modern navigation systems. However, the application requirements of fully autonomous vehicles cannot be satisfied solely by GNSS and thus a combination of positioning and navigation approaches need to be explored. This work…
Abstract: Unmanned Aircraft Systems (UASs) are technologically advancing at such a rapid pace that domain experts are now highly concerned of the potential misuse of the technology that can be used for unlawful actions with detrimental effects. The most effective measure to counteract the operation of…
Abstract: Efficient traffic monitoring is playing a fundamental role in successfully tackling congestion in transportation networks. Congestion is strongly correlated with two measurable characteristics, the demand and the network density that impact the overall system behavior. At large, this system behavior is characterized through the fundamental…