Results 21 to 30 of about 10,072,306 (137)

Detection of Driving Distractions and Their Impacts

Journal of Advanced Transportation, Volume 2023, Issue 1, 2023., 2023
For decades, road crashes have caused many deaths and injuries and generally have had a severe social and economic impact on societies. According to studies, driver distraction has led to an increase in driving‐related risks. In recent years, there have been more distracting factors that commonly affect drivers, highlighting the need for a resolution ...
Arian Shajari, Houshyar Asadi, Sebastien Glaser, Adetokunbo Arogbonlo, Shady Mohamed, Lars Kooijman, Ahmad Abu Alqumsan, Saeid Nahavandi, Yajie Zou   +8 more
wiley   +1 more source

Checklist for Expert Evaluation of HMIs of Automated Vehicles—Discussions on Its Value and Adaptions of the Method within an Expert Workshop

Information, 2020
Within a workshop on evaluation methods for automated vehicles (AVs) at the Driving Assessment 2019 symposium in Santa Fe; New Mexico, a heuristic evaluation methodology that aims at supporting the development of human–machine interfaces (HMIs) for AVs ...
Nadja Schömig, Katharina Wiedemann, Sebastian Hergeth, Yannick Forster, Jeffrey Muttart, Alexander Eriksson, David Mitropoulos-Rundus, Kevin Grove, Josef Krems, Andreas Keinath, Alexandra Neukum, Frederik Naujoks   +11 more
doaj   +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

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

Discussion of “some statistical challenges in automated driving systems”

, 2023
Applied Stochastic Models in Business and Industry, Volume 39, Issue 5, Page 657-658, September/October 2023.
Feng Guo
wiley   +1 more source

Testing predictive automated driving systems: lessons learned and future recommendations

, 2022
Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess the required safety levels.
Fernández Llorca, David, Parra Alonso, Ignacio, Salinas Maldonado, Carlota, Izquierdo Gonzalo, Rubén, Sotelo Vázquez, Miguel Ángel, Alonso Ruiz, Javier   +5 more
core   +1 more source

Autonomous driving at intersections: combining theoretical analysis with practical considerations

, 2015
International audienceThe move towards automated driving is gaining impetus recently. This paper follows the approach of combining theoretical analysis with practical issues.
de La Fortelle, Arnaud, Qian, Xiangjun, Fortelle, Arnaud   +2 more
core   +3 more sources

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

A cybersecurity risk analysis framework for systems with artificial intelligence components

International Transactions in Operational Research, Volume 33, Issue 2, Page 798-825, March 2026.
Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua   +3 more
wiley   +1 more source

On the Classification of Vehicle Cut‐In Scenarios Severity: Empirical Evidence to Validate the Severity Classification of UN R157

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This study validates the Fuzzy Safety Model (FSM) as a tool for classifying the difficulty of vehicle cut‐in scenarios, supporting its role in Automated Lane Keeping Systems (ALKS) safety assessments. Results from a test campaign demonstrate the FSM's effectiveness in categorising preventable cases and its broader applicability in enhancing automated ...
Sandor Vass, Konstantinos Mattas, Riccardo Donà, Marton Pataki, Biagio Ciuffo, Maria Cristina Galassi, Zsolt Szalay, Viktor Tihanyi   +7 more
wiley   +1 more source