Search Results - VEHICLE STYLING

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  1. 1

    Creative integration of Egyptian cultural heritage in electric vehicle styling by Tamer Yousif, Mariano Ramirez, Maha Shawqi

    Published in Creativity Studies (2025-08-01)
    “…The purpose is to investigate how ancient Egyptian symbols can inspire innovative electric vehicle styling and assess the educational outcomes of such a design project. …”
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    Electric Vehicle Styling Image Decision Model Based on User Evaluation Data by Yongsheng CHENG, Xiaoqi XU

    Published in Taiyuan Ligong Daxue xuebao (2022-09-01)
    “…In order to solve the problem of the cognitive mechanism between user emotion and styling image in the process of electric vehicle design, improve the company's decision-making ability on styling imagery, and reduce the risk of electric vehicle development, an electric vehicle styling image decision model based on user evaluation data was proposed. …”
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  3. 3

    Recognition of the Driving Style in Vehicle Drivers by Jorge Cordero, Jose Aguilar, Kristell Aguilar, Danilo Chávez, Eduard Puerto

    Published in Sensors (2020-05-01)
    “…This paper presents three different approaches to recognize driving style based on a hierarchical-model. Specifically, it proposes a hierarchical model for the recognition of the driving style for advanced driver-assistance systems (ADAS) for vehicles. …”
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    The Effect of Driving Style on Responses to Unexpected Vehicle Cyberattacks by Fangda Zhang, Meng Wang, Jah’inaya Parker, Shannon C. Roberts

    Published in Safety (2023-01-01)
    “…How drivers respond to situations induced by vehicle cyberattacks is safety critical. This paper sought to understand the effect of human drivers’ risky driving style on response behavior to unexpected vehicle cyberattacks. …”
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    Improving Driving Style in Connected Vehicles via Predicting Road Surface, Traffic, and Driving Style by Yahya Kadhim Jawad, Mircea Nitulescu

    Published in Applied Sciences (2024-05-01)
    “…This paper investigates the application of ensemble learning in improving the accuracy and reliability of predictions in connected vehicle systems, focusing on driving style, road surface quality, and traffic conditions. …”
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    Styles energy consumption analysis of lane-changing maneuvers in autonomous vehicles: The role of driving styles by Yu Guo, Guigen Nie, Xiaowei Zou, Dongliang Zhu, Wenliang Gao, Mi Liao

    “…Energy efficiency is essential in electric autonomous driving systems, particularly within the framework of smart grid (SG) and vehicle-to-grid (V2G) interactions. However, prior studies have rarely examined energy consumption during lane changes, especially with respect to different driving styles. …”
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    In-Vehicle Data for Predicting Road Conditions and Driving Style Using Machine Learning by Ghaith Al-refai, Hisham Elmoaqet, Mutaz Ryalat

    Published in Applied Sciences (2022-09-01)
    “…In this work, a low-cost machine learning system that uses in-vehicle data is proposed to solve three categorization problems; road surface conditions, road traffic conditions and driving style. …”
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    Stealthy Vehicle Adversarial Camouflage Texture Generation Based on Neural Style Transfer by Wei Cai, Xingyu Di, Xin Wang, Weijie Gao, Haoran Jia

    Published in Entropy (2024-10-01)
    “…By calculating the style loss between the texture and the specified style image, the adversarial texture generated by the model is guided to have good stealthiness and is not easily detected by DNNs and human observers in specific scenes. …”
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  17. 17

    Description styles of fault-tolerant finite state machines for unmanned aerial vehicles by Valery Salauyou

    “…The subject matter of this article is finite state machines (FSMs), which are used as control devices in unmanned aerial vehicles (UAVs). The goal of this study is to develop description styles for fault-tolerant FSMs in hardware description languages (HDLs) that prevent failures in the state register and in the input vector of the FSM. …”
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    Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles by Luca Forneris, Alessandro Pighetti, Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Riccardo Berta

    Published in International Journal of Serious Games (2023-11-01)
    “…This makes the development of new models much more efficient, which is key for implementing vehicles featuring different driving styles. We also demonstrate that, by simply tweaking the reinforcement learning (RL) reward function, it is possible to train agents characterized by different driving behaviors. …”
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    Validity Analysis of Traffic-Flow Data for Combined Driving Style in Intelligent Connected Vehicle by GAO Jiahao, HU Chuangye, DING Nan, LIU Zhandong

    Published in Jisuanji gongcheng (2024-06-01)
    Subjects: “…intelligent connected vehicle(icv)|driving style|traffic flow theory|particle swarm optimization(pso) algorithm|reinforcement learning|validity analysis…”
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