… needed for distributed training at the edge and those essential for model inference. This …
upon edge intelligence, first through examining its building blocks (AI and edge computing) and …

… In summary, the use of edge intelligence for vehicle detection and image segmentation has
… introduces an edge intelligence-based vehicle detection method and an edge intelligence-…

… It is a benchmark suite for edge computing in connected and autonomous vehicles, including
six applications: SLAM, objective detection, object tracking, battery diagnostics, speech …

… autonomous driving framework. In the autonomous-vehicles tier, the autonomous vehicles
… In the edge-intelligence tier, an edge server is implemented with the remaining layers (also …

… In order to verify the self-organizing network of autonomous vehicles constructed in this study
based on improved AlexNet network combined with filtering algorithm, this study conducts …

… In this paper, we propose to use autonomous vehicles assisted with virtual edge servers
for efficient self driving. Introducing Artificial Intelligence (AI) techniques at the edge layer may …

… which represent key modules in edge intelligence over virtualized AI-IoT architectures. …
steps between the edge computing and the connected autonomous vehicle as follows: …

… Artificial Intelligence (AI) is a machine intelligence tool … transformation towards fully smart
Autonomous Vehicle (AV) that … in the search for the Autonomous Vehicles. It has been shown …

… connected and autonomous vehicles (CAVs). Thanks to the development of 5G-and-beyond
networks, the autonomous driving industry sees the light of building an intelligent vehicular …

… For example, since the sensors and cameras mounted on an autonomous vehicle generate
about one gigabyte of data per second [3], it is hard to upload the data and get instructions …