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Improving efficiency of DNN-based relocalization module for autonomous driving with server-side computing
The substantial computational demands associated with Deep Neural Network (DNN)-based camera relocalization during the reasoning process impede their...
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An autonomous architecture based on reinforcement deep neural network for resource allocation in cloud computing
Today, cloud computing technology has attracted the attention of many researchers. According to the needs of users to quickly execute requests and...
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Computing Scheduling for Autonomous Driving
This chapter investigates computing resource scheduling for real-time applications in autonomous driving, such as localization and obstacle...
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An autonomous proactive content caching method in edge computing environment: a learning-based approach
Proactive content caching is a promising edge computing approach to manage network data growth. When contents are placed on caches closer to users,...
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VPI: Vehicle Programming Interface for Vehicle Computing
The emergence of software-defined vehicles (SDVs), combined with autonomous driving technologies, has enabled a new era of vehicle computing (VC),...
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Aphto: a task offloading strategy for autonomous driving under mobile edge
With the increasing complexity of autonomous driving tasks, the computational demands on single vehicular computing units have escalated, more and...
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An autonomous blockchain-based workflow execution broker for e-science
Scientific workflows are essential for many applications, enabling the configuration and execution of complex tasks across distributed resources. In...
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Exploration of issues, challenges and latest developments in autonomous cars
Autonomous cars have achieved exceptional growth in the automotive industry in the last century in terms of reliability, safety and affordability....
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Underwater autonomous gras** robot based on multi-stage Cascade DetNet
At present, underwater exploration and salvage, underwater archaeology, and other underwater operations still mainly rely on professional underwater...
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Object detection in adverse weather condition for autonomous vehicles
As self-driving or autonomous vehicles proliferate in our society, there is a need for their computing vision systems to be able to identify objects...
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Security strategy for autonomous vehicle cyber-physical systems using transfer learning
Cyber-physical systems (CPSs) are emergent systems that enable effective real-time communication and collaboration (C&C) of physical components such...
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Time-sensitive autonomous architectures
Autonomous and software-defined vehicles (ASDVs) feature highly complex systems, coupling safety-critical and non-critical components such as...
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Statistical verification of autonomous system controllers under timing uncertainties
Software in autonomous systems like autonomous cars, robots or drones is often implemented on resource-constrained embedded systems with...
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A survey on large language model based autonomous agents
Autonomous agents have long been a research focus in academic and industry communities. Previous research often focuses on training agents with...
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Smart City Transportation: A VANET Edge Computing Model to Minimize Latency and Delay Utilizing 5G Network
Smart cities cannot function without autonomous devices that connect wirelessly and enable cellular connectivity and processing. Edge computing...
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Implementation of Microgrid Digital Twin System for Unmanned Vehicles with Cloud Computing Techniques
The digital twin (DT) has recently been forth in the rapid advancements at cloud computing and artificial intelligence (AI). It has numerous...
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Imperialist competitive based approach for efficient deployment of IoT services in fog computing
Although Quality of Service (QoS) and cost reduction are the main achievement of using resource rich cloud computing in IoT environments, the...
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Teleoperation in Vehicle Computing
Throughout the last 100 years, the primary function of vehicles has been to provide transportation, enhance mobility, and establish unprecedented...
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A precautionary approach to autonomous vehicles
In this article, we defend an approach to autonomous vehicle ethics and policy based on the precautionary principle. We argue that a precautionary...
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Smart road management system for prioritized autonomous vehicles under vehicle-to-everything (V2X) communication
This paper works on smart transportation strategy for emergency autonomous and normal autonomous vehicles under the vehicle-to-every-things...
