A Novel Multi-Scale Adaptive Convolutional Network for Single Image Super-Resolution
IEEE Access, 2019 Recently, the methods based on deep convolutional neural networks have shown superior performance on image restoration. By using a faster and deeper network, the existing methods have achieved the breakthroughs in speed and accuracy. But, they still work
Peng Liu, Ying Hong, Yan Liu
doaj +1 more source
Deep Differential Convolutional Network for Single Image Super-Resolution
IEEE Access, 2019 The deep convolutional neural networks and residual networks have shown great success and high-quality reconstruction for single image super-resolution.
Peng Liu, Ying Hong, Yan Liu
doaj +1 more source
On M2M Micropayments : A Case Study of Electric Autonomous Vehicles [PDF]
, 2018 The proliferation of electric vehicles has spurred the research interest in technologies associated with it, for instance, batteries, and charging mechanisms.
Hussain, Rasheed +5 more
core +4 more sources
Quantifying automated vehicle benefits in reducing driving stress: a simulation experiment approach
Frontiers in Future Transportation, 2023 Driving is a stressful activity because of the mental workload required to maneuver a vehicle in certain travel contexts, such as congested traffic, multi-modal networks requiring complex interaction with surrounding vehicles, and aggressive driving ...
Zulqarnain H. Khattak, Zhenhong Lin
doaj +1 more source
AWARE: Platform for Autonomous self-deploying and operation of Wireless sensor-actuator networks cooperating with unmanned AeRial vehiclEs [PDF]
, 2007 This paper presents the AWARE platform that seeks to enable the cooperation of autonomous aerial vehicles with ground wireless sensor-actuator networks comprising both static and mobile nodes carried by vehicles or people.
Andres, Eduardo de +6 more
core +3 more sources
Model to predict motion sickness within autonomous vehicles [PDF]
, 2020 Background: Motion sickness is common within most forms of transport; it affects most of the population who experience varied symptoms at some stage in their lives.
Diels, Cyriel +4 more
core +1 more source
Multi-Branch Deep Residual Network for Single Image Super-Resolution
Algorithms, 2018 Recently, algorithms based on the deep neural networks and residual networks have been applied for super-resolution and exhibited excellent performance.
Peng Liu, Ying Hong, Yan Liu
doaj +1 more source
Frontiers in Psychology, 2023 A more critical evaluation of the actions of autonomous vehicles in comparison to those of human drivers in accident scenarios may complicate the introduction of autonomous vehicles into daily traffic. In two experiments, we tested whether the evaluation
Maike M. Mayer, Axel Buchner, Raoul Bell
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Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities
Mobile Information Systems, 2022 Intelligent Automation (IA) in automobiles combines robotic process automation and artificial intelligence, allowing digital transformation in autonomous vehicles.
Gourav Bathla +8 more
semanticscholar +1 more source
A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles
IEEE transactions on intelligent transportation systems (Print), 2022 The state-of-the-art decision and planning approaches for autonomous vehicles have moved away from manually designed systems, instead focusing on the utilisation of large-scale datasets of expert demonstration via Imitation Learning (IL).
Luc Le Mero +3 more
semanticscholar +1 more source