Results 41 to 50 of about 86,486 (162)
Automated Driving: A Literature Review of the Take over Request in Conditional Automation [PDF]
Electronics, 2020 In conditional automation (level 3), human drivers can hand over the Driving Dynamic Task (DDT) to the Automated Driving System (ADS) and only be ready to resume control in emergency situations, allowing them to be engaged in non-driving related tasks (NDRT) whilst the vehicle operates within its Operational Design Domain (ODD). Outside the ODD, a safe
Walter Morales-Alvarez +4 more
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What Is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?
Mathematics, 2023 Model predictive control (MPC) is a promising approach to the lateral and longitudinal control of autonomous vehicles. However, the parameterization of the MPC with respect to high-level requirements such as passenger comfort, as well as lateral and ...
David Stenger +4 more
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Information, 2021 In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose.
Johannes Ossig +2 more
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The Decline of User Experience in Transition from Automated Driving to Manual Driving
Information, 2021 Automated driving technologies are rapidly being developed. However, until vehicles are fully automated, the control of the dynamic driving task will be shifted between the driver and automated driving system.
Mikael Johansson +3 more
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Textual Explanations for Automated Commentary Driving
2023 IEEE Intelligent Vehicles Symposium (IV), 2023 The provision of natural language explanations for the predictions of deep-learning-based vehicle controllers is critical as it enhances transparency and easy audit. In this work, a state-of-the-art (SOTA) prediction and explanation model is thoroughly evaluated and validated (as a benchmark) on the new Sense--Assess--eXplain (SAX).
Kühn, MA, Omeiza, DA, Kunze, L
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Survey on Scenario-Based Safety Assessment of Automated Vehicles
IEEE Access, 2020 When will automated vehicles come onto the market? This question has puzzled the automotive industry and society for years. The technology and its implementation have made rapid progress over the last decade, but the challenge of how to prove the safety ...
Stefan Riedmaier +4 more
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Engaging with Highly Automated Driving: To be or Not to be in the Loop? [PDF]
Driving Assessment Conference 2015, 2015 This desktop driving simulator study investigated the effect of engagement in a reading task during vehicle automation on drivers’ ability to resume manual control and successfully avoid an impending collision with a stationary vehicle. To avoid collision, drivers were required to regain control of the automated vehicle and change lane.
Louw, TL, Merat, N, Jamson, AH
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Communication Disturbance Observer Based Delay-Tolerant Control for Autonomous Driving Systems
SensorsWith the rapid growth of autonomous vehicle technologies, effective path-tracking control has become a critical component in ensuring safety and efficiency in complex traffic scenarios.
Xincheng Cao +3 more
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IEEE Open Journal of Vehicular TechnologyAutonomous driving requires decision-making and motion control algorithms that can ensure both safety and efficiency in complex traffic environments. To address these challenges, this study proposes a hierarchical decision making and control framework ...
Haochong Chen, Bilin Aksun-Guvenc
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A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features
Sensors, 2017 During recent years, convolutional neural network (CNN)-based methods have been widely applied to hyperspectral image (HSI) classification by mostly mining the spectral variabilities.
Lingyan Ran +3 more
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