Results 31 to 40 of about 3,652,664 (303)

It’s about time! Earlier take-over requests in automated driving enable safer responses to conflicts [PDF]

, 2022
Automated driving (AD), which takes full responsibility for the driving task in certain conditions, is currently being developed. An important concern in AD is how to design a take-over request (TOR) that mitigates automation effects (e.g., delayed ...
Dozza, Marco, Tivesten, Emma, Dozza, Marco,, Pipkorn, Linda,, Tivesten, Emma,, Pipkorn, Linda   +5 more
core   +1 more source

Modules and Techniques for Motion Planning: An Industrial Perspective

Sensors, 2021
Research on autonomous cars has become one of the main research paths in the automotive industry, with many critical issues that remain to be explored while considering the overall methodology and its practical applicability. In this paper, we present an
Stefano Quer, Luz Garcia
doaj   +1 more source

Parameter‐space‐based robust control of event‐triggered heterogene‐ous platoon

IET Intelligent Transport Systems, 2021
A parameter‐space‐based robust platooning controller for the event‐triggered heterogeneous platoon is presented. The novel heterogeneous platoon is established with different longitudinal vehicle dynamic and driving preferences and the event‐triggered ...
Fangwu Ma, Jiawei Wang, Yang Yu, Liang Wu, Zhenze Liu, Bilin Aksun‐Guvenc, Levent Guvenc   +6 more
doaj   +1 more source

Is driving experience all that matters? Drivers' takeover performance in conditionally automated driving.

Journal of Safety Research, 2023
INTRODUCTION In conditionally automated driving, drivers are allowed to engage in non-driving related tasks (NDRTs) and are occasionally requested to take over vehicle control in situations that the automation system cannot handle.
Neng Zhang, Mohammad Fard, J. Davy, S. Parida, S. R. Robinson   +4 more
semanticscholar   +1 more source

Opportunities and Challenges in Cooperative Road Vehicle Automation

IEEE Open Journal of Intelligent Transportation Systems, 2021
This paper provides an introduction to the opportunities for improving the performance of road transportation automation systems by use of vehicle-vehicle and vehicle-infrastructure communication and cooperation.
Steven E. Shladover
doaj   +1 more source

Comparing techniques to reduce simulator adaptation syndrome and improve naturalistic behaviour during simulated driving [PDF]

, 2009
Electrical stimulation of the vestibular sensory system during virtual environment simulations reduces the incidence of simulator adaptation syndrome (SAS).
Reed-Jones, William J, (), Rebecca J Reed-Jones, Trick, Lana M, Toxopeus, Ryan (author), Reed-Jones, Rebecca J. (author), Vallis, Lori A, Reed-Jones, James G, Ryan Toxopeus, Lori A Vallis, Toxopeus, Ryan, Trick, Lana M. (author), Vallis, Lori A. (author), Reed-Jones, James G. (author), James G Reed-Jones, Lana M Trick   +15 more
core   +1 more source

Efficient Simulation Based Calibration of Automated Driving Functions Based on Sensitivity Based Optimization

IEEE Open Journal of Intelligent Transportation Systems, 2020
Increasing demands on reliability and safety of automated driving functions require an augmented usage of simulation tools for the efficient calibration of these functions. However, finding an optimal solution can be costly, especially when the objective
Nicolas Fraikin, Kilian Funk, Michael Frey, Frank Gauterin   +3 more
doaj   +1 more source

A Review of the Impact of Rain on Camera-Based Perception in Automated Driving Systems

IEEE Access, 2023
Automated vehicles rely heavily on image data from visible spectrum cameras to perform a wide range of tasks from object detection, classification, and avoidance to path planning.
Tim Brophy, D. Mullins, Ashkan Parsi, J. Horgan, Enda Ward, P. Denny, Ciarán Eising, B. Deegan, M. Glavin, Edward Jones   +9 more
semanticscholar   +1 more source

Safety of Perception Systems for Automated Driving: A Case Study on Apollo

ACM Transactions on Software Engineering and Methodology, 2023
The automotive industry is now known for its software-intensive and safety-critical nature. The industry is on a path to the holy grail of completely automating driving, starting from relatively simple operational areas like highways.
S. Kochanthara, Tajinder Singh, Alexandru Forrai, L. Cleophas   +3 more
semanticscholar   +1 more source

Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures [PDF]

IEEE transactions on intelligent transportation systems (Print), 2022
Trust calibration poses a significant challenge in the interaction between drivers and automated vehicles (AVs) in the context of human-automation collaboration.
Jackie Ayoub, Lilit Avetisian, X. J. Yang, Feng Zhou   +3 more
semanticscholar   +1 more source