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Refinado por: assunto: Automobile Driving remover
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1
Future directions for the development of virtual reality within an automotive manufacturer
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Future directions for the development of virtual reality within an automotive manufacturer

Lawson, Glyn ; Salanitri, Davide ; Waterfield, Brian

Applied ergonomics, 2016-03, Vol.53, p.323-330 [Periódico revisado por pares]

England: Elsevier Ltd

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2
Key Factors Analysis of Severity of Automobile to Two-Wheeler Traffic Accidents Based on Bayesian Network
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Key Factors Analysis of Severity of Automobile to Two-Wheeler Traffic Accidents Based on Bayesian Network

Liu, Lining ; Ye, Xiaofei ; Wang, Tao ; Yan, Xingchen ; Chen, Jun ; Ran, Bin

International journal of environmental research and public health, 2022-05, Vol.19 (10), p.6013 [Periódico revisado por pares]

Switzerland: MDPI AG

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3
Autonomous vehicles: No drivers required
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Autonomous vehicles: No drivers required

Waldrop, M Mitchell

Nature (London), 2015-02, Vol.518 (7537), p.20-23 [Periódico revisado por pares]

England

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4
In Automatic We Trust: Investigating the Impact of Trust, Control, Personality Characteristics, and Extrinsic and Intrinsic Motivations on the Acceptance of Autonomous Vehicles
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In Automatic We Trust: Investigating the Impact of Trust, Control, Personality Characteristics, and Extrinsic and Intrinsic Motivations on the Acceptance of Autonomous Vehicles

Hegner, Sabrina M. ; Beldad, Ardion D. ; Brunswick, Gary J.

International journal of human-computer interaction, 2019-11, Vol.35 (19), p.1769-1780 [Periódico revisado por pares]

Norwood: Taylor & Francis

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5
A Survey on Ground Segmentation Methods for Automotive LiDAR Sensors
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A Survey on Ground Segmentation Methods for Automotive LiDAR Sensors

Gomes, Tiago ; Matias, Diogo ; Campos, André ; Cunha, Luís ; Roriz, Ricardo

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.601 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic
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Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic

Wang, Chang ; Sun, Qinyu ; Li, Zhen ; Zhang, Hongjia

Sensors (Basel, Switzerland), 2020-04, Vol.20 (8), p.2259 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
Higher social class predicts increased unethical behavior
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Higher social class predicts increased unethical behavior

Piff, Paul K ; Stancato, Daniel M ; Côté, Stéphane ; Mendoza-Denton, Rodolfo ; Keltner, Dacher

Proceedings of the National Academy of Sciences - PNAS, 2012-03, Vol.109 (11), p.4086-4091 [Periódico revisado por pares]

United States: National Academy of Sciences

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8
Letter to the Editor: Update on Experiences of a Driver with Vision Impairment when Using a Tesla Car-Full Self-driving (Beta) in City Driving
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Letter to the Editor: Update on Experiences of a Driver with Vision Impairment when Using a Tesla Car-Full Self-driving (Beta) in City Driving

Xu, Jing ; Kendrick, Karen ; Bowers, Alex R

Optometry and vision science, 2023-06, Vol.100 (6), p.351-353 [Periódico revisado por pares]

United States

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9
Bibliometric review of telematics-based automobile insurance: Mapping the landscape of research and knowledge
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Bibliometric review of telematics-based automobile insurance: Mapping the landscape of research and knowledge

Chauhan, Vikas ; Yadav, Jitendra

Accident analysis and prevention, 2024-03, Vol.196, p.107428-107428, Article 107428 [Periódico revisado por pares]

England

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10
Vehicle choices for teenage drivers: A national survey of U.S. parents
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Vehicle choices for teenage drivers: A national survey of U.S. parents

Eichelberger, Angela H. ; Teoh, Eric R. ; McCartt, Anne T.

Journal of safety research, 2015-12, Vol.55, p.1-5 [Periódico revisado por pares]

United States: Elsevier Ltd

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