Results 41 to 50 of about 3,652,664 (303)

A Review on Scene Prediction for Automated Driving

Physics, 2022
Towards the aim of mastering level 5, a fully automated vehicle needs to be equipped with sensors for a 360∘ surround perception of the environment. In addition to this, it is required to anticipate plausible evolutions of the traffic scene such that it ...
Anne Stockem Novo, Martin Krüger, Marco Stolpe, Torsten Bertram   +3 more
doaj   +1 more source

Using fNIRS to Verify Trust in Highly Automated Driving

IEEE transactions on intelligent transportation systems (Print), 2023
Trust in automation is crucial for the safe and appropriate adoption of automated driving technology. Current research methods to measure trust mainly rely on subjective scales, with several intrinsic limitations.
Jaume R. Perello-March, Christopher G. Burns, Roger Woodman, Mark T. Elliott, S. Birrell   +4 more
semanticscholar   +1 more source

Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality [PDF]

Social Science Research Network, 2022
With the level of automation increases in vehicles, such as conditional and highly automated vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in unexpected driving scenarios.
Lilit Avetisyan, Jackie Ayoub, Feng Zhou
semanticscholar   +1 more source

Driving Cars by Means of Genetic Algorithms [PDF]

, 2008
Proceedings of: 10th International Conference on Parallel Problem Solving From Nature, PPSN 2008. Dortmund, Germany, September 13-17, 2008The techniques and the technologies supporting Automatic Vehicle Guidance are an important issue.
Sáez, Yago, Sáez Achaerandio, Yago, Sanjuán Martínez, Óscar, Pérez, Diego, Sanjuan, Óscar, Isasi, Pedro, Isasi Viñuela, Pedro   +6 more
core   +1 more source

Cooperation and the role of autonomy in automated driving

, 2022
S.1-27While automation in human-machine systems can increase safety and comfort, the 2016 lethal crash of an automated vehicle demonstrates that automation is not without its risk.
Altendorf, E., Wessel, G., Flemisch, F., Canpolat, Y., Schreck, C.   +4 more
core   +1 more source

How Do Changes in the External Environment Affect Driving Engagement in Automated Driving? – An Exploratory Study [PDF]

, 2017
We developed a new method for simultaneously assessing theworkload of a driver and a non-driver engaged in natural conversation either inthe vehicle or over a cell phone.
Heishiro Toyoda, Lenneman, John, Josh Domeyer, John Lenneman, Toyoda, Heishiro, Domeyer, Josh   +5 more
core   +1 more source

Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios

IEEE Access, 2021
The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS dealing with real-world traffic ...
Erwin de Gelder, Hala Elrofai, Arash Khabbaz Saberi, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart de Schutter   +5 more
doaj   +1 more source

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, Robert Ritschel, Felix Krabbes, Rick Voßwinkel, Hendrik Richter   +4 more
doaj   +1 more source

Conceptualising user comfort in automated driving: Findings from an expert group workshop

Transportation Research Interdisciplinary Perspectives
The driving style of an automated vehicle (AV) needs to be comfortable to encourage the broad acceptance and use of this newly emerging transport mode. However, current research provides limited knowledge about what influences comfort, how this concept ...
Chen Peng, Stefanie Horn, R. Madigan, Claus Marberger, John D. Lee, Josef F. Krems, Matthias Beggiato, Richard Romano, Chong-Feng Wei, Ellie Wooldridge, R. Happee, Marjan P. Hagenzieker, N. Merat   +12 more
semanticscholar   +1 more source

SI-CNN: Spatial Interaction Convolutional Neural Network for Lane Change Prediction Using Bird’s-Eye-View Grid Encoding

IEEE Access
Lane change prediction is a safety-critical task for automated driving systems. Most existing approaches represent surrounding vehicles as flattened time-series features, discarding the spatial layout of traffic, and few studies systematically examine ...
Yuyeong Shin, Nara Lee, Yonghoon Jang, Jeongtae Park, Taeho Lee, Seunghyuk Baek, Yongki Lee, Sibok Yu   +7 more
doaj   +1 more source