To mitigate the high energy demand of Neural Network (NN) based Autonomous Driving Systems (ADSs), we consider the problem of offloading NN controllers from the ADS to …
Many recent cloud or edge computing strategies for automotive applications require transmitting huge amounts of Light Detection and Ranging (LiDAR) data from terminals to …
AM Zaki, SA Elsayed, K Elgazzar… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Autonomous vehicles heavily rely on sensor data to make pivotal driving and traffic management decisions. However, the reliability of such data can be profoundly impacted by …
T Marwala, LG Mpedi - Artificial Intelligence and the Law, 2024 - Springer
The seventeenth-century philosopher John Locke argued that the law of nature obligated humans not to cause harm (Mujiwati, Y., 2022. The Concept of the State of Nature on Human …
The dynamic collaboration among hyper-connected Autonomous Systems promotes their evolution towards Autonomous Ecosystems. In order to maintain the safety of such …
D Bhatta, L Mashayekhy - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
IoT (Internet-of-Things) devices require both reliable, ultra-low latency connection and on- demand access to computing resources in their vicinity. Edge computing can provide nearby …
Vehicular Edge computing requires computational power from connected Edge devices in the network to process incoming vehicle work requests. This connection and offloading …
W Ouedraogo, A Araldo, B Jouaber, H Castel… - arXiv preprint arXiv …, 2024 - arxiv.org
Communication and computation services supporting Connected and Automated Vehicles (CAVs) are characterized by stringent requirements, in terms of response time and reliability …
The advancement of communication technologies in edge computing has led to progress in various applications, including those that require vehicle-to-vehicle (V2V) and vehicle-to …