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Computing systems for autonomous driving: State of the art and challenges
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …
learning, and hardware acceleration) and the broad deployment of communication …
Machine learning at the network edge: A survey
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …
in recent years. This has led to the generation of large quantities of data in real-time, which …
A survey on edge computing systems and tools
Driven by the visions of Internet of Things and 5G communications, the edge computing
systems integrate computing, storage, and network resources at the edge of the network to …
systems integrate computing, storage, and network resources at the edge of the network to …
Information fusion for edge intelligence: A survey
Edge intelligence capability is expected to enable the development of a new paradigm
integrated with edge computing and artificial intelligence. However, due to the multisource …
integrated with edge computing and artificial intelligence. However, due to the multisource …
OpenEI: An open framework for edge intelligence
In the last five years, edge computing has attracted tremendous attention from industry and
academia due to its promise to reduce latency, save bandwidth, improve availability, and …
academia due to its promise to reduce latency, save bandwidth, improve availability, and …
Edge video analytics for public safety: A review
With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …
video analytics has come to play an essential part in public safety. Typically, video analytics …
A multilayered audio signal encryption approach for secure voice communication
In this paper, multilayer cryptosystems for encrypting audio communications are proposed.
These cryptosystems combine audio signals with other active concealing signals, such as …
These cryptosystems combine audio signals with other active concealing signals, such as …
Artificial intelligence for securing IoT services in edge computing: a survey
Z Xu, W Liu, J Huang, C Yang, J Lu… - Security and …, 2020 - Wiley Online Library
With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …
traditional cloud computing model by transferring all data to the cloud for processing has …
Malicious attacks against multi-sensor fusion in autonomous driving
Multi-sensor fusion has been widely used by autonomous vehicles (AVs) to integrate the
perception results from different sensing modalities including LiDAR, camera and radar …
perception results from different sensing modalities including LiDAR, camera and radar …
What the fog? edge computing revisited: Promises, applications and future challenges
Edge computing brings computing and storage resources closer to (mobile) end users and
data sources, thus bypassing expensive and slow links to distant cloud computing …
data sources, thus bypassing expensive and slow links to distant cloud computing …