Is it safe to drive? An overview of factors, metrics, and datasets for driveability assessment in autonomous driving

J Guo, U Kurup, M Shah - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
With recent advances in learning algorithms and hardware development, autonomous cars
have shown promise when operating in structured environments under good driving …

Driver behavior modeling: Developments and future directions

N AbuAli, H Abou-Zeid - International journal of vehicular …, 2016 - Wiley Online Library
The advances in wireless communication schemes, mobile cloud and fog computing, and
context‐aware services boost a growing interest in the design, development, and …

Cognitive cars: A new frontier for ADAS research

L Li, D Wen, NN Zheng, LC Shen - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper provides a survey of recent works on cognitive cars with a focus on driver-
oriented intelligent vehicle motion control. The main objective here is to clarify the goals and …

The relation between self-reported driving style and driving behaviour. A simulator study

HH Van Huysduynen, J Terken, B Eggen - Transportation research part F …, 2018 - Elsevier
The aim of this study was to investigate the predictive value of the Multidimensional Driving
Style Inventory (MDSI) for driving behaviour in a driving simulator, in terms of speeding …

Measuring driving styles: a validation of the multidimensional driving style inventory

HH van Huysduynen, J Terken, JB Martens… - Proceedings of the 7th …, 2015 - dl.acm.org
The aim of this study was to validate the stability of the different factors of the
Multidimensional Driving Style Inventory (MDSI)[16], which was originally developed and …

Predicting the public adoption of connected and autonomous vehicles

ML Ahmed, R Iqbal, C Karyotis… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Connected and Autonomous Vehicles (CAV) are gaining increasing importance due to the
current needs of modern society for better mobility and societal impact. CAV development …

[HTML][HTML] Pyramidal 3D feature fusion on polar grids for fast and robust traversability analysis on CPU

D Fusaro, E Olivastri, I Donadi, D Evangelista… - Robotics and …, 2023 - Elsevier
Self-driving vehicles and autonomous ground robots require a reliable and accurate method
to analyze the traversability of the surrounding environment for safe navigation. This paper …

Post-stroke driving: Examining the effect of executive dysfunction

K Motta, H Lee, T Falkmer - Journal of safety research, 2014 - Elsevier
Introduction Executive dysfunction can refer to both neurocognitive deficits and behavioral
symptoms that include impaired judgment, slow decision making, disorganization …

[HTML][HTML] Hazard prediction and risky decision-making by drivers affected by non-hemineglect strokes

C Castro, D Salazar-Frías, A Szot, L Laffarga… - … research part F: traffic …, 2024 - Elsevier
The stroke survivor's independence is severely limited if they are prevented from driving,
and regaining this ability could be vital to their recovery. Our pioneering study analysed …

Pushing the limits of learning-based traversability analysis for autonomous driving on cpu

D Fusaro, E Olivastri, D Evangelista, M Imperoli… - International Conference …, 2022 - Springer
Self-driving vehicles and autonomous ground robots require a reliable and accurate method
to analyze the traversability of the surrounding environment for safe navigation. This paper …