Recently, elevated LiDAR (ELiD) has been proposed as an alternative to local LiDAR
sensors in autonomous vehicles (AV) because of the ability to reduce costs and …

The ability of Unmanned Aerial Vehicles (UAV) to autonomously operate is constrained by
the severe limitations of on-board resources. The limited processing speed and energy …

Driven by the dramatic growth in computing capability and the inherent mobility of the
unmanned aerial vehicles (UAVs), the recently advocated UAV edge computing paradigm is …

As user equipments (UEs) and infrastructure evolve, the network architecture becomes
increasingly heterogeneous, presenting challenges in managing diverse communication …

Compared with traditional terrestrial access networks, a mobile edge computing-enabled
aerial access network is a potential paradigm for performing complicated computations by …

With Computing in the Network technologies, Mobile Edge Computing (MEC) has expanded
the resource distribution and tightly integrated computing-network capabilities from the end …

Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) is considered to
offer computational capabilities to the resource-constraints end-users. In this paper, we …

Unmanned Aerial Vehicle (UAV) Edge Computing is expected to be critical for providing
communications, computation, and storage services at areas with weak infrastructures …

Offloading computationally intensive tasks such as lidar or visual odometry from mobile
robots has multiple benefits. Resource constrained robots can make use of their network …

Unmanned aerial vehicles (UAVs) have been widely used in wireless edge networks for task
offloading, with the advantages of their agile management and high-flexibility deployment …