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
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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 Vehicle Ultrasonic Sensor Vulnerability and Impact Assessment [PDF]
, 2018 Vehicles today are relying more on technologies to bring about fully autonomous features. The conventional wirings within are being simplified into a network of electronic components, and this network is controlled via advanced sensing of the environment
Keoh, Sye Loong +2 more
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Analysis and Modeling of Lane-Changing Game Strategy for Autonomous Driving Vehicles
IEEE Access, 2022 Autonomous driving vehicles have some advantages, such as alleviating tasks of drivers and reducing carbon emissions. With the advancement of intelligent network connection technology, autonomous driving vehicles are showing a trend of practicality and ...
Dayi Qu +4 more
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Review article: State-of-the-art trajectory tracking of autonomous vehicles [PDF]
Mechanical Sciences, 2021 Air pollution, energy consumption, and human safety issues have aroused people's concern around the world. This phenomenon could be significantly alleviated with the development of automatic driving techniques, artificial intelligence, and computer ...
L. Li, L. Li, J. Li, J. Li, S. Zhang
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An Agent-based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles [PDF]
, 2018 Due to the complexity of the natural world, a programmer cannot foresee all possible situations, a connected and autonomous vehicle (CAV) will face during its operation, and hence, CAVs will need to learn to make decisions autonomously.
Dongyao Jia +5 more
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A Cellular Automata Model for Heterogeneous Traffic Flow Incorporating Micro Autonomous Vehicles
Journal of Advanced Transportation, 2022 Despite the fact that significant research efforts have been made to the traffic flow theory of autonomous vehicles and manual vehicles, few existing studies have incorporated different modes of both vehicles in their analysis.
Muhammad Tanveer +4 more
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Optimal number and location of parking facilities in presence of autonomous vehicles [PDF]
Numerical Methods in Civil Engineering, 2022 Worldwide surveys have shown that autonomous vehicles will enter the transportation networks in the following decades. Therefore, investigating and analyzing the impacts of autonomous vehicles on traffic has been one of the most exciting issues ...
Vahed Barzegari, Ali Edrisi
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Exponential ε-tracking and ε-stabilization of second-order nonholonomic SE(2) vehicles using dynamic state feedback [PDF]
, 2002 In this paper, we address the problem of ε-tracking and ε-stabilization for a class of SE(2) vehicles with second-order nonholonomic constraints. We introduce a class of transformations called near-identity diffeomorphism that allow dynamic partial ...
Olfati-Saber, Reza
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Effect of Autonomous Vehicles on Fatigue Life of Orthotropic Steel Decks
Sensors, 2022 The fatigue life of orthotropic steel decks (OSDs) is significantly affected by vehicle loads, and the local stress response of OSDs is sensitive to the transverse position of vehicle loads.
Shengquan Zou +3 more
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